Oferty pracy Data Engineer i Data Science — 471+ Ofert

Pension Data Analyst / Pensions Admin - Insurance We are recruiting for a Pensions Data Analyst / Pensions Admin with strong Data Analytic skills and DB/DC experience to join one of our Insurance clients on a 6-month contract.Inside IR35 - HybridresponsibilitiesAnalyse large and complex datasets from multiple sources to identify trends, risks, anomalies and opportunities.Perform data validation and quality checks, investigating discrepancies and ensuring accuracy prior to reporting.Apply analytical techniques to support regulatory reporting and client deliverables.Produce regular and ad hoc management information (MI) in line with the data governance framework.Translate complex data findings into clear, non‑technical insights for internal stakeholders.Support data governance activities, including documentation of data sources, definitions and reporting logic, ensuring robust audit trails.Ensure data handling and reporting practices comply with internal policies and procedures.Contribute to the continuous improvement of data processes, controls and reporting automation.Skills & ExperienceStrong experience in data analysis and reporting.Proven ability to work with large datasets and produce accurate, insightful reports.Advanced Excel skills.Experience supporting regulatory, client or governance reporting.Knowledge of data governance, data quality frameworks or MI standardisation.Experience using BI/reporting tools such as Power BI, Tableau or similar.Defined Contributions/ Defined Benefit experienceIf this role is of interest and would like to know more, please apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Data Engineer – Commodities & Energy TradingLondon | Permanent | Hybrid WorkingOur client is a global commodities and energy trading organisation operating an asset‑light, highly diversified business model. The firm combines advanced analytics, proprietary technology, and robust risk management to support trading, optimisation, and risk‑management decisions across energy and commodities markets.As a Senior Data Engineer, you will join a highly technical Data, AI & Analytics function responsible for building the data platforms that underpin trading, quantitative research, predictive analytics, and machine‑learning use cases. This is a hands‑on role with ownership across data ingestion, transformation, storage, and distribution, working closely with Data Scientists, Traders, and technology teams.You’ll have the opportunity to:Build and maintain scalable data pipelines supporting trading and analytics use casesIngest structured and unstructured data from diverse internal and external sourcesSupport predictive analytics, systematic trading, and machine‑learning workloadsPartner closely with Data Scientists and Trading teams to deliver high‑quality datasetsContribute to cloud‑native data platforms using modern engineering practicesDrive improvements in data quality, performance, and self‑service capabilitiesYour ResponsibilitiesAs a Senior Data Engineer, you will:Design and implement data ingestion pipelines using ETL, streaming, scraping, and batch approachesClean, enrich, and transform datasets for analytical and operational consumptionPersist data across databases, warehouses, and data lakesDistribute data internally via APIs, Python packages, and direct queryingMaintain and enhance production data pipelines and databasesSupport post‑processing automation, including analytics, models, and visualisation workflowsEnable Data Scientists through shared libraries, cloud resources, and documented data accessMaintain knowledge bases covering data sources, pipelines, and usageKey RequirementsAs a Senior Data Engineer, you should have:Strong engineering background in Data Engineering, Computer Science, or similarExperience working in commodities, energy trading, or financial markets environmentsAdvanced Python skills, including extensive use of PandasExperience with analytical or time‑series databases (e.g. Redshift, ClickHouse)Hands‑on experience with Docker and containerised workloadsExperience with Git and modern DevOps practicesPractical experience deploying infrastructure on AWS using IaC (e.g. CDK, CloudFormation)A proactive, ownership‑driven mindset with strong problem‑solving skillsYou will gain exposure with:Working as a Senior Data Engineer, you will gain exposure to:Direct collaboration with Traders and quantitative teamsCloud‑native data platforms supporting real‑time and batch processingBig‑data and distributed processing toolsAWS services such as S3, Lambda, Athena, EMR, Kinesis, and EC2Advanced analytics, visualisation, and data‑science workflowsEmerging technologies across AI and machine learningWhy Join?Work on data platforms that directly support trading and optimisation decisionsOwn data engineering solutions end‑to‑end in a high‑impact environmentOperate in a technically deep, collaborative engineering cultureCompetitive compensation with performance‑linked bonusHybrid working model supporting flexibility and collaborationInterested? Apply now.

Data & Machine Learning ArchitectNewcastle Up to £80,000 S/C ClearableWe’re hiring an experienced Data & Machine Learning Architect to lead the design of modern, scalable data and AI platforms. This role is ideal for someone who enjoys setting technical direction, shaping strategy, and guiding teams to deliver intelligent, enterprise‑grade solutions.What you’ll have the opportunity to do as a Data & ML ArchitectDefining and owning data and machine learning architecture across complex programmes Designing scalable cloud‑based data platforms and AI solutions that align to business goals Providing technical leadership across data engineering, ML and analytics delivery Establishing architectural standards around data modelling, governance, quality and security Working closely with senior stakeholders to translate business needs into technical roadmaps Mentoring engineers and architects while promoting best practice and innovation About the CandidateThe right Data & ML Architect should have:Strong experience in data architecture, ML architecture or advanced data engineering roles Deep understanding of cloud platforms and modern data architectures Proven ability to design and govern large‑scale data and AI solutions Experience with CI/CD, MLOps and infrastructure‑as‑code approaches Confident communicator able to work with both technical and non‑technical audiences Eligible for SC clearance (5+ years continuous UK residency)  What’s in it for you?Salary from £65,000 to £80,000Hybrid working based in Newcastle25 Days holiday per annumExtensive benefits packageContinuous training provided for career progression To hear more about the Data & Machine Learning Architect role contact Daire McIlhatton at daire.mcilhatton@ansonmccade.com

Data Engineering Lead (27511) Nottingham, or UK remote to £80,000 plus benefits Apply for Similar Jobs Filled Delivering meaningful results in a people-focused, environmentally conscious organisation Take responsibility for data engineering in a growing company. This hands-on Python role would suit an experienced data engineering lead. To the rest of the business, you will provide the answers the business needs, in plain language. Behind the scenes, you will become the technical authority on a new platform, making good use of the abundant data in hand, architecting and developing new systems towards these needs, and growing the team for the future. You’ll have: Strong software engineering skills in Python, including excellent knowledge of the Python language, use of design patterns, SOLID principles, databases, cloud deployment, source control and CI/CD. Led data engineering projects, with a focus on building and maintaining scalable data pipelines, data lakes or lakehouse architectures. Project management and team leadership skills. The ability to communicate clearly and effectively with non-technical stakeholders. Good attention to detail, a positive attitude, flexibility, collaboration, and engagement with clients, building good relationships. You’d join a forward-looking company with a people-focused and environmentally friendly mission towards a low carbon future. The role has significant autonomy, as you will encapsulate the technical aspects of the data engineering function of the business, help them make the most of available data, exploring it and delivering clear answers. Fully remote work is an option, and flexible and/or reduced hours may be considered.

We are a global technology group, headquartered in London. We deploy experts and frontier technology, like AI, to help organisations thrive through change. We have over 600 professionals (>75% hands-on technical talent) spread across Europe, North America and Asia, and are backed by Marlin Equity Partners.  We help customers: Work smarter – Building modern, scalable infrastructure, apps and workflows that actually improve your bottom line. Engage personally – Creating digital experiences that capture attention, convert sales, and keep customers coming back. Stay secure – Establishing the security, governance and compliance systems that protect you from threats, fines, and downtime. We work with some of the world's biggest brands to solve their biggest problems. From highly regulated financial institutions to fast-moving tech unicorns and global retailers. Different worlds, same standard: we ship tangible outcomes into production, fast. Then we work alongside customers to maintain and optimise them long term, upskilling their teams along the way. Work where work matters.We are looking for a Data & AI Specialist to architect the intelligence layer of our clients' digital futures. At Qodea, we believe in work that leaves a mark. This role is for the innovative people who thrive on solving problems that don't have answers yet, for those who are accountable for tangible outcomes, and for individuals who act with integrity when it absolutely has to work. Here, you will be responsible for the end-to-end evolution of data into intelligence, building the robust pipelines and sophisticated models that power global decision-making. You will make a significant impact by unlocking the predictive power of data for global brands, turning vast datasets into strategic competitive advantages and shaping the future alongside other high-calibre people. Role Responsibilities Designs and deploys scalable data pipelines and production-grade ML models using Python and SQL to solve high-stakes business problems. Executes robust data modelling (Schema design, Data Vault, Kimball) to ensure high-quality, actionable data environments. Manages the full MLOps lifecycle, from initial data wrangling and experimentation to production deployment and monitoring using Vertex AI and dbt. Collaborates with global clients to translate complex data findings and AI solutions into measurable business value. Implements large-scale data processing frameworks such as Apache Beam, Spark, or Flink for batch and streaming patterns. Consultative mindset with a focus on solving the hardest technical problems for clients. Methodical problem-solver with a proactive approach to technical experimentation. Storytelling skills to communicate technical complexity to non-technical stakeholders. Integrity in maintaining high standards for data ethics and quality. Essential Experience:Demonstrates technical breadth with extensive experience in Python (Pandas, Scikit-learn) and SQL (BigQuery, PostgreSQL). Expertise in Data Engineering & Modelling, specifically building complex ELT/ETL pipelines and schema design (Star/Snowflake/Vault). Google Professional Data Engineer or Professional Machine Learning Engineer certification. Desirable Experience: Experience with GenAI, LLM fine-tuning, and semantic search. Knowledge of Looker for data visualisation and LookML development. Background in a billable consultancy environment. Built for what’s next.This role is aligned with Qodea’s career framework at the [Level 1: Junior / Level 2: Core / Level 3: Senior / Level 4: Principal / Lead / Level 5: Head /Level 6: Director / Level 7: VP Data & AI level.  Exceptional performance can lead to advancement opportunities within our career framework or internal opportunities with other departments, aligned with your career aspirations and business needs.

Work where work matters.Elevate your career at Qodea, where innovation isn't just a buzzword, it's in our DNA.We are a global technology group built for what's next, offering high calibre professionals the platform for high stakes work, the kind of work that defines an entire career. When you join us, you're not just taking on projects, you're solving problems that don't even have answers yet.You will join the exclusive roster of talent that global leaders, including Google, Snap, Diageo, PayPal, and Jaguar Land Rover call when deadlines seem impossible, when others have already tried and failed, and when the solution absolutely has to work.

Forget routine consultancy. You will operate where technology, design, and human behaviour meet to deliver tangible outcomes, fast. This is work that leaves a mark, work you’ll be proud to tell your friends about.

Qodea is built for what’s next. An environment where your skills will evolve at the frontier of innovation and AI, ensuring continuous growth and development.

We are looking for a Senior Data Analyst to join our Professional Services team. We look for people who embody:Innovation to solve the hardest problems.‍Accountability for every result.‍Integrity always.About The RoleServe as a Senior Data Analyst, leveraging cloud technology skills in a dynamic and evolving consulting environment.Solve complex customer-facing challenges, helping diverse organizations to create and modernize data analytics platforms as they move to the cloud.Analyze and define project requirements, and manage the end-to-end execution process.Liaise with multiple stakeholders daily to ensure the timely delivery of appropriate outputs in accordance with project plans and deadlines.Investigate and utilize a wide variety of new and available technologies and software.What You’ll DoUse your significant experience of working with Looker Enterprise to analyze and define project requirements, and manage the end-to-end execution process of migrating their current reporting suite to Looker Enterprise.Deepen your understanding of the Looker BI Suite and Big Query, as well as surrounding GCP concepts such as IAM roles, Logging and MonitoringUnderstand customer business requirements and advise the best way to fulfil these with the data and tools availableInvestigate data necessary to achieve desired business outcomesConcisely and thoroughly document processes relating to customer data requirementsProvide training and pair-programming sessions for clients to upskill them in using Looker and associated GCP servicesDevelop internal tooling, and improve processes, for the wider data analytics team and Qodea business. You will love to find ways to do things betterWhat Success Looks LikeSignificant professional  experience working in a Data Analytics role, ideally in a customer facing consultancy roleProfessional hands-on experience working with Looker Enterprise (including instance management, LookML development, user access set-up and building visualisations) and Looker Studio (Looker Studio Pro experience is desirable)Strong data processing experience and understanding of developing against common database technologies (such as MS SQL, PostgreSQL, MySQL, etc)Understanding of developing visualisations and reports using BI solutions (such as Looker, Google Data Studio, Tableau, PowerBI, etc)Comprehensive problem-solving skills and proven ability to apply creative and innovative thinking, identify and support the resolution of data quality and integrity issuesConfident in presenting findings in an effective, structured and actionable way to a wide set of audiences with varying levels of understandingExcellent planning, prioritisation, organisational and time management skills, being able to work both as part of a team and independently, and delegate tasks to team members where appropriate Ability to meet regular and ad hoc deadlines, working under project plans and deadlinesWe believe in supporting our team members both professionally and personally. Here's how we invest in you:Compensation and Financial WellbeingCompetitive base salary.Matching pension scheme (up to 5%) from day one.Discretionary company bonus scheme.4 x annual salary Death in Service coverage from day one.Employee referral scheme.Tech Scheme.Health and WellnessPrivate medical insurance from day one.Optical and dental cash back scheme.Help@Hand app: access to remote GPs, second opinions, mental health support, and physiotherapy.EAP service.Cycle to Work scheme.Work-Life Balance and Growth36 days annual leave (inclusive of bank holidays).An extra paid day off for your birthday.Ten paid learning days per year.Flexible working hours.Market-leading parental leave.Sabbatical leave (after five years).Work from anywhere (up to 3 weeks per year).Industry-recognised training and certifications.Bonusly employee recognition and rewards platform.Clear opportunities for career development.Length of Service Awards.Regular company events.Diversity and InclusionAt Qodea, we champion diversity and inclusion. We believe that a career in IT should be open to everyone, regardless of race, ethnicity, gender, age, sexual orientation, disability, or neurotype. We value the unique talents and perspectives that each individual brings to our team, and we strive to create a fair and accessible hiring process for all.

An opportunity has arisen for an experienced finance professional join a growing E&P organisation on an initial 6-month contract. This role will play a key part in supporting critical ERP master data processes within a complex, fast-paced environment.     The RoleYou will take ownership of finance master data within SAP, providing ongoing support and maintenance across a range of core areas including business partners, general ledger accounts, profit centres, cost centres, WBS elements, and joint venture equity groups.           A key focus will be maintaining robust controls and processes to ensure data integrity, while also identifying and highlighting cross-functional dependencies across systems. You’ll play an important role in supporting system testing, audits, and broader finance system activities.                Alongside SAP responsibilities, you will also contribute to master data support across additional systems, assist with user access and control reviews, and provide administrative support for finance-related platforms.          Key ResponsibilitiesMaintaining and updating finance master data within SAP.Ensuring strong data governance, controls, and accuracy across systems.Supporting system integrity testing and continuous improvement initiatives.Assisting with internal and external audit requirements.Providing support across additional finance systems and user access controls.Collaborating with stakeholders across finance and the wider business.               About YouQualified accountant (ACA, ACCA, CIMA or equivalent) or qualified by experience.Strong analytical mindset with excellent attention to detail.Experience working with SAP master data (highly desirable).Advanced MS Office skills.Confident communicator, able to engage with stakeholders at all levels.Highly organised with the ability to meet deadlines in a fast-paced environment.Flexible and responsive, with a strong focus on service delivery.TMM Recruitment INDFIN

iPhone is equipped with the world’s most popular camera system, delivering magical experiences that continue to surprise and delight our customers. The Camera & Photos group focuses on perfecting our imaging pipelines using computational photography, statistical and optimization methods, and machine learning techniques. As part of the Camera and Photos organization, our team in Cambridge works on camera pipelines and innovative algorithms for Apple’s mobile devices, including the iPhone and iPad. Combining innovative algorithms with optimized implementations, we deliver the quality and features that help redefine mobile photography. If you are passionate about inventing and developing new imaging algorithms to improve the photography experience, we would like to hear from you! Description You will leverage your research background and knowledge of signal and image processing and statistical analysis methods to design, develop, and improve Apple imaging technologies. We will partner you with a dedicated mentor who is an experienced member of our team. You and your mentor will collaborate to design and implement an innovative solution that aligns with the team’s on-going and future projects. At the end of your internship, you will have the chance to meet and present your work to the leadership in our organization. Minimum Qualifications Experience researching, developing, and implementing advanced image processing algorithms and statistical models Deep understanding of image processing techniques and optimization algorithms Excellent coding skills, preferably in Python and MATLAB Post-graduate student in computer science, applied mathematics, physics, machine learning or a related subject Preferred Qualifications Excellent analytical and problem-solving skills Experience collaborating with multidisciplinary research teams Excellent written and verbal communication skills Familiarity with object-oriented programming languages such as C++ or Objective C

Want to move into Data Engineering properly, not just hover around the edges of it? This role is deliberately open to more than one type of person. You might be a graduate with a Data Engineering, Data Analytics or similar degree and the right technical base. You might be a Data Analyst who has already started doing the engineering side of the job and wants that to become your actual career. Or you might already be a Data Engineer and just want a better place to keep progressing. Whichever route you come from, the key thing is simple. You’ll need Python, PySpark and SQL. Your new role.. You’ll be joining a business where data genuinely matters. Not in the vague “we’re data-driven” way that loads of companies talk about. In the real sense that better data helps shape commercial decisions, strategy and outcomes. The big pull here is the progression. You’ll work closely with senior Data Engineers, so this is not one of those roles where you are left to figure everything out on your own. You’ll get the chance to shadow, learn, ask questions, improve your engineering standards, and build proper experience in a setting where Data Engineering is already valued. You’ll be working with Python, PySpark and SQL on the kinds of problems that help you grow into a stronger all-round engineer. So if you want a role that helps you move forwards, rather than one that keeps you doing the same level of work for the next two years, this should be worth a look. The organisation.. You’d be joining a growing Hampshire-based financial services business in a regulated environment where data and analytics already play an important role. Publicly,they talk about a data-led approach, ongoing investment in analytics capability, senior data leadership in place, and strong growth over the last ten years. That matters because you’re not joining to “sell the idea” of data engineering internally. You’re joining a business that already gets it. What you’ll bring.. There is some flexibility on background, which is refreshing. You could be early in your career. You could be moving across from Data Analysis. You could already be in Data Engineering. But this won’t be the right fit if you don’t already have Python, PySpark and SQL. It’ll also suit you more if you like learning from others, want to be around a team a few days a week, and see office time as a chance to develop faster, not just commute for the sake of it.

We’re looking for a skilled Data Engineer to play a key role in designing and implementing a cloud data warehouse using AWS Redshift. This is an exciting opportunity to join at the early stage a data transformation journey. Initially, you’ll focus on building and optimising  a Redshift environment. Over time, the role will naturally evolve into a more analytics-focused position, supporting business intelligence, insights, and strategic decision-making through Power BI. If you enjoy building robust data infrastructure and later translating that data into meaningful insights, this role offers the best of both worlds. Key Responsibilities Design, implement, and optimise AWS Redshift data warehouse architecture Build and maintain ETL/ELT pipelines Integrate data from multiple sources (APIs, databases, third-party platforms) Ensure data quality, integrity, and performance optimisation Work closely with stakeholders to define data structures and modelling standards Develop and maintain Power BI dashboards and reports Translate business requirements into analytical solutions Create data models optimised for reporting and self-service BI Provide actionable insights to support decision-making Collaborate with leadership and operational teams on data strategy Required Experience Proven experience as a Data Engineer or similar role Strong hands-on experience with AWS Redshift Solid SQL skills and experience with data modelling Experience building and maintaining ETL/ELT pipelines Strong Power BI experience (data modelling, DAX, dashboard design) Understanding of cloud-based data architectures Experience working in a remote or distributed team Desirable Skills Experience with other AWS services (e.g., S3, Lambda, Glue) Knowledge of data governance and security best practices Experience with CI/CD for data workflows Exposure to stakeholder-facing analytics roles Due to the high volume of applications we receive, we may not be able to respond to all applications. Should you not hear from us in 5 working days then your application has not been successful.

Junior Data Analyst Apply now Date: Mar 27, 2026 Location: One Braham (4140), London, United Kingdom Company: BT Group Job Req ID: 57275 Posting Date: 27th March 2026 Function: Data & AI  Location: London, Birmingham, Manchester, Bristol  Salary: Competitive with great benefits  Please note this role is a 12 month fixed term contract.  About EE We’re EE. We are the biggest mobile and broadband operator in the UK and we have a relationship in every second household in the country. But we’re for everyone, on any network – serving up new tech, new services, and heaps of inspiration for every aspect of your connected life. We’ve been awarded the UK’s best network for the last 10 years. It’s central to our vision – to be the most personal customer-focused technology company in the UK. That means earning a place on customers’ home screens by offering them more than ever before, whether that’s helping their home run smarter with EE Home, levelling up their play with EE Game, helping them work on their terms with EE Work, or even unleashing their kids’ learning with EE Learn.  We’re also part of BT Group, which we’re even bigger than you might think. Millions of people rely on us every day to help them live their lives, power their businesses, and keep their public services running. We connect friends to family, clients to colleagues, people to possibilities. We keep the wheels of business spinning, and the emergency services responding.  We think we’ve got something special here. We want everyone to feel proud about working at EE – and feel excited about where we’re going and what we’re going to do. Want to join in?  Why this job matters The Junior Data Analyst plays a key role in supporting the delivery of highquality, reliable, and timely insights across Consumer. Working as part of a multidisciplinary data squad, the role focuses on data preparation, dashboard development, data quality checks, and supporting senior analysts with analysis that underpins decisionmaking across Marketing, Sales, Trading, Digital, and Service.  This is an ideal role for someone early in their data career who is eager to learn modern data tooling (GCP, SQL, BigQuery, QlikSense) and wants to contribute to the delivery of automated, scalable, selfserve analytics.  What you’ll be doing Data Preparation & Quality Extract, clean, transform, and validate data using SQL and BT’s cloud data platforms (GCP / BigQuery). Conduct data quality checks, reconcile data sources, and flag anomalies or issues early. Maintain documentation and ensure datasets and reports meet governance and accuracy standards. Analysis & Insight  Support senior analysts with exploratory analysis and deep dives. Produce clear, concise tables, charts, and narrative outputs to answer commercial questions. Help quantify performance trends (e.g., sales, churn, digital journeys, campaign effectiveness).  Dashboard & Reporting  Build and maintain QlikSense dashboards used by operational and commercial teams. Refresh recurring reports and troubleshoot data issues in BAU cycles Contribute to the automation of manual Excelbased reporting.  Collaboration & Ways of Working  Work within an agile, crossfunctional squad alongside product owners, data engineers, and decision scientists. Participate in standups, sprint ceremonies, and planning. Engage with stakeholders to understand requirements and translate them into analytical tasks.  Continuous Improvement  Identify opportunities to simplify processes, improve data quality, and automate manual tasks. Learn and adopt BT standards for code quality, versioning, tagging, and governance. Stay current with industry analytics practices and BT’s cloud tooling.  Skills required for the job Essential Basic SQL skills (e.g., SELECT, JOIN, GROUP BY, filtering). Understanding of data structures, ETL processes, and analytical concepts. Experience using Excel for data manipulation and analysis. Curiosity, strong attention to detail, and willingness to learn. Ability to explain findings clearly to nontechnical audiences. Ability to work collaboratively in a team environment.  Desirable (Training Provided)  Experience with BigQuery, GCP, or other cloud data platforms. QlikSense report building. Exposure to Python for data analysis or automation. Understanding of data governance, documentation, and version control (e.g., Git).  Our leadership standards Looking in: Leading inclusively and Safely I inspire and build trust through self-awareness, honesty and integrity. Owning outcomes I take the right decisions that benefit the broader organisation. Looking out: Delivering for the customer I execute brilliantly on clear priorities that add value to our customers and the wider business. Commercially savvy I demonstrate strong commercial focus, bringing an external perspective to decision-making. Looking to the future: Growth mindset I experiment and identify opportunities for growth for both myself and the organisation. Building for the future I build diverse future-ready teams where all individuals can be at their best. We value diversity and celebrate difference. ‘We embed diversity and inclusion into everything that we do. It’s fundamental to our purpose: we connect for good.’  We all stick to the same values: Personal, Simple, and Brilliant. From day one, you’ll get stuck in to tough challenges, pitch in with ideas, make things happen. But you won’t be alone: we’ll be there with help and support, learning and development.  A FEW POINTS TO NOTE: Although these roles are listed as full-time, if you’re a job share partnership, work reduced hours, or any other way of working flexibly, please still get in touch. We will also offer reasonable adjustments for the selection process if required, so please do not hesitate to inform us. DON'T MEET EVERY SINGLE REQUIREMENT? Studies have shown that women and people who are disabled, LGBTQ+, neurodiverse or from ethnic minority backgrounds are less likely to apply for jobs unless they meet every single qualification and criteria. We're committed to building a diverse, inclusive, and authentic workplace where everyone can be their best, so if you're excited about this role but your past experience doesn't align perfectly with every requirement on the Job Description, please apply anyway - you may just be the right candidate for this or other roles in our wider team. Apply now

Business Data AnalystBI Reporting / InsightsContract - 6 months.Glasgow/HybridA fantastic new Business Data Analyst Contract has just arisen with an established Glasgow based Client, a well-known name to many.Joining a central Business Intelligence/Insights Team, the successful candidate will be required to support a key project focussed on integrating/centralising key BI Reports from other areas of the business (into the Central Team).The successful candidate will be required to work closely with key Stakeholders to gather reporting requirements & carry out a lot of Data Discovery to ensure reporting from the other business areas can be brought in line with central team Dashboards & Reports.To be successful, we're looking for candidates with the following knowledge & experience:Proven experience as a Business Data Analyst, ideally in an agile, data intensive environment, with deep expertise in gathering requirements & process analysis etc.A data background with a really solid grounding & understanding of Business Intelligence and Insights. Candidates must have in-depth knowledge of Data Discovery, Data Capture, Data Mapping and Data Visualization etc.Strong SQL & PowerBI knowledge/experienceFirst Class communication and stakeholder management skills will be absolutely essential for success in this role.A proactive, self-managing team player with a curious & flexible approachFinally, any experience working in other Central BI / Reporting / Insights / MI Teams or CoE's would be highly advantageous but not essential.If you enjoy turning data into meaningful insight and dashboards, this is a fantastic & interesting opportunity so PLEASE APPLY NOW to be considered.We're ideally seeking candidates who are locally based, available immediately / at short notice, and those who can hit the ground running.*** PLEASE NOTE - We are NOT using AI in the screening/matching/selection of candidates. Head Resourcing is committed to being an inclusive business where diversity is valued and celebrated. Diversity to us, includes but is not limited to: educational background, socio-economic background, neurodiversity, age, marriage and civil partnership status, veteran status, gender, gender identity, gender reassignment, sexual orientation, disability, religion or belief, race and ethnicity. As such we welcome enquiries and applications from everyone. We will be happy discuss with you any workplace adjustments you need in order to be at your best during the recruitment process.

We are partnered with a deeply technical quant hedge fund, who employ data driven techniques to enhance trading algorithms and strategies. Symptomatically of this, they're looking to hire a Data Scientist to support an Equity desk.   Co-Head of Trading Technology Jake Stacey jake@paragonalpha.com This role focused on alternative data sets, building quantitative models, and forecasts to help PMs and Quant Traders analyse their market and strategy, and build custom algorithms. They need someone with excellent Python, modelling, time-series data analysis; and ideally someone from a quant trading set up   Stack: Python, AWS, MLflow, SQL   This firm operates at the intersection of science and trading, and would offer individuals industry leading compensation, personal development resources, and also 2 days a week remote.

Are you a tech savvy Data Engineer with AWS expertise combined with client facing skills? You could be joining a global technology consultancy with a range of banking, financial services and insurance clients in a senior, hands-on Data Engineer role. As a Data Engineer you will design and build end-to-end real-time data pipelines using AWS native tools, Kafka and modern data architectures, applying AWS Well-Architected Principles to ensure scalability, security and resilience. You'll collaborate directly with clients to analyse requirements, define solutions and deliver production grade systems, leading the development of robust, well tested and fault tolerant data engineering solutions. Location / WFH: There's a hybrid work from home model with two days a week in the London, City office (or at client site in London). About you: You are an experienced Data Engineer within financial services or consulting environments You have expertise with AWS including Lake formation and transformation layers You have strong Python coding skills You have experience with real-time data streaming using Kafka You're collaborative and pragmatic with excellent communication and stakeholder management skills You're comfortable taking ownership of projects and working end-to-end You have a good knowledge of Distributed Systems and DevOps tooling Ideally you will also have Databricks experience

Analytics Engineer (GCP / dbt) Sector: Telecoms Location: London or Reading (2 days in office) Pay Rate: £467.50 - £552.50 (Inside IR35) Tech Stack: Google Cloud Platform (BigQuery), dbt (Cloud/Core), SQL The Role: The Bridge Between Data & Decisions In the world of Telecoms, the data is vast, but the insights need to be surgical. We are looking for an Analytics Engineer who lives exactly where Data Engineering meets Data Analysis. You won't just be moving data; you’ll be the architect of the "Single Source of Truth." Your mission is to take raw, complex telecoms data and transform it into clean, scalable, high-quality models that power our Finance, Planning, and Commercial teams. If you’re tired of "black box" engineering and want to see the direct business impact of your code, this is the seat for you. What You’ll Be Doing Architecting the Truth: Design and implement scalable business-layer models, marts, and OBTs. You’ll decide whether a dimensional model or a flat OBT is the right tool for the specific business problem. Owning the Lifecycle: You take business requirements and turn them into technical reality. You’ll develop, test, document, and deploy via CI/CD, treating analytics code with the same rigour as software engineering. Enforcing Excellence: You’ll be the gatekeeper for SQL and dbt standards. You’ll lead code reviews that focus on logic, consistency, and future maintainability. Security & Integrity: Data quality isn’t an afterthought—it's a critical defect. You’ll implement generic and custom tests while ensuring PII is handled safely (masking, hashing, and access control). Deep-Dive Problem Solving: When a pipeline breaks or a number looks "off," you’ll trace the lineage from source to BI layer, debugging failures independently until they’re resolved. Performance & Cost Ops: You’ll hunt for refactoring opportunities in older models and use BigQuery tools to optimize query performance and cloud costs. Stakeholder Storytelling: You’ll explain technical "why" in simple "business." You make sure downstream teams know exactly how a model change will affect their dashboards before you hit deploy. Your Profile The Must-Haves: Expert SQL: You write complex, performant queries and understand the "under the hood" mechanics of cloud data warehouses (specifically GCP BigQuery). dbt Specialist: Strong hands-on experience with dbt Cloud or Core is essential. Modelling Pro: You understand dimensional modelling and how to structure data for varied business use cases. CI/CD Native: You’re comfortable with branching, merging, rebasing, and resolving conflicts in a professional development environment. Analytical Detective: You have the "lineage mindset"—the ability to trace data flows backward to find and fix the root cause of an issue. The Nice-to-Haves: Experience in Agile environments and a deep understanding of the data development lifecycle. Familiarity with BI tools (like Tableau) so you can see the data through the eyes of the end-user. A background in Performance Tuning and cost optimization within GCP. A "Community" mindset—whether that’s mentoring others or contributing to internal forums and meetups.

ABOUT THE COMPANYA fast-growing fintech company is hiring a Data Engineer to support the next phase of its product and data infrastructure evolution. The company is on a mission to make investing simple, accessible, and cost-effective - removing long-standing barriers and enabling millions of individuals to grow their wealth with confidence. In early 2025, it announced a strategic acquisition by a leading global investment group. The business remains independent, while gaining access to scale, resources, and market reach. The team is rapidly expanding and launching new features including mutual funds, bonds, and family investing products. With AI and data playing an increasingly central role, this is a pivotal time to join.   ABOUT THE ROLEThe Data Engineer will join a growing data team focused on transforming high-volume data into trusted insights, tooling, and infrastructure. This role involves hands-on pipeline development, cloud deployment, and collaboration across product and engineering. You'll work in a modern data stack, help scale internal analytics capabilities, and shape the data foundations of a next-gen investment platform.   KEY RESPONSIBILITIES Design, build, and deploy data pipelines using Python and SQL Orchestrate pipelines in Dagster and deploy jobs into a Kubernetes cluster Model clean, reliable datasets within BigQuery Improve data quality and monitoring through alerting and automated testing Deploy data infrastructure via Terraform and maintain CICD pipelines Enhance operational efficiency and reliability of the data platform Collaborate with product and engineering stakeholders to define best practices and deliver data-driven solutions   REQUIREMENTS Proven experience writing and maintaining data pipelines in production Strong coding skills in Python and SQL, with attention to testing and maintainability Experience deploying data-centric applications in cloud environments (Google Cloud preferred) Familiarity with a range of data sources including relational DBs, NoSQL, APIs, and cloud storage Understanding of data security, privacy, and protection principles Comfortable owning regular processing jobs and responding to data issues   WORKING MODEL Hybrid model: 3 days in the London office (Monday, Tuesday, Thursday), 2 days remote Designed for deep in-person collaboration with flexibility for personal circumstances Supportive of parents and those with caregiving responsibilities   BENEFITS & CULTURE Competitive salary with structured benchmarking 25 days annual leave plus UK public holidays, birthday off, and tenure-based bonus days Enhanced pension with up to 5% company match Private health insurance including mental health, dental, and vision care Group life insurance at 5x salary and income protection cover Enhanced parental leave for all caregiver types Learning & development budget including sponsorship for industry qualifications Cycle-to-work scheme with tax savings Paid sick leave (10 days annually) Values-led culture built on honesty, focus, and grit—expect these to guide your interview process   If you’re a data engineer looking to build at scale, collaborate with smart cross-functional teams, and shape data infrastructure at a growing fintech, this opportunity offers both impact and career growth.  

Overview:A premium financial services organisation with ambitious growth plans are looking for a Director - Data Engineering and Analytics, to drive their data-centric organisation through continued improvement and ownership of their data stack.The successful candidate will have 10+ years of hands-on experience implementing and managing data teams/environments. Apart from taking ownership of data warehousing and analytics, you will also develop a plan to recruit and hire a team of data, engineering and analytics professionals as the company growth dictates.This role is offering fully remote work, and expects the right candidate to handle everything from ad-hoc analysis to the company's strategic data and analytics development.Requirements:Bachelor's degree in quantitative/technical field (i.e. computer science, information systems, engineering, math, statistics, etc.)10+ years of hands-on experience implementing and managing data teams/environments.Exceptional technology knowledge and experience in data warehouse methodologies, including data management, data integration, ETL and analytics system architecture.Built data warehouses, data marts, and data lakes, including implementations in a hybrid environment.Experience managing data from numerous source systems, including CRM/ERP's (i.e., Salesforce, NetSuite) and marketing analytics (i.e., Google Analytics), etc.Experience with Talend required, Snowflake and Looker a plus.Expert in SQL language, stored procedures and functions.Technically skilled in modern big data principles and technologies.Ability to code in Python, and/or Go.Ability to scale and document processes, systems and controls surrounding data.Passionate, high energy, motivated self-starter who enjoys working in a fast-paced, high-growth and dynamic environment.Please apply now if this role matches your experience and expectations moving forward.Next Steps:Please submit your application or speak to a specialist consultant from the Abacus team on 0044 (0) 28 9031 3157 for a confidential discussion. We aim to respond to all inquiries within 4 business hours.The team at Abacus manages a range of permanent and contract positions throughout Northern Ireland, the UK and the Republic of Ireland. If you are professionally qualified we can support your job search.Terms and Conditions and Privacy Policy on www.abacus.careers

Compensation packages at Scale for eligible roles include base salary, equity, and benefits. The range displayed on each job posting reflects the minimum and maximum target for new hire salaries for the position, determined by work location and additional factors, including job-related skills, experience, interview performance, and relevant education or training. Scale employees in eligible roles are also granted equity based compensation, subject to Board of Director approval. Your recruiter can share more about the specific salary range for your preferred location during the hiring process, and confirm whether the hired role will be eligible for equity grant. You’ll also receive benefits including, but not limited to: Comprehensive health, dental and vision coverage, retirement benefits, a learning and development stipend, and generous PTO. Additionally, this role may be eligible for additional benefits such as a commuter stipend.

Contract Data Engineer / BI Developer (Snowflake, SQL, dbt/SQLMesh) Location: Europe (preferred time zone alignment) Type: Contract or Permanent We are looking for a Data Engineer / BI Developer to join our growing data team at an exciting time, as demand for analytics and data products increases following an upcoming major product release. This role sits at the intersection of data engineering and business intelligence, helping to accelerate the delivery of high-quality, reliable data across the organisation. You will work primarily within a modern data stack, building scalable data transformation pipelines using advanced SQL patterns and frameworks such as dbt or SQLMesh, with Snowflake as the central data platform. The focus of the role will be on designing and implementing efficient data models, developing robust transformation logic, and enabling faster, more reliable access to data for downstream analytics and reporting. The ideal candidate will have strong experience in SQL-based data transformation, data modelling, and working within cloud data warehouse environments. You should be comfortable bridging the gap between BI development and data engineering, ensuring that data pipelines are both scalable and structured to support evolving analytics requirements. We are open to hiring either a contractor or a permanent team member, and would prefer candidates based within European time zones to support collaboration and operational coverage. This is an excellent opportunity to join a team building modern data infrastructure and play a key role in scaling data delivery as the platform and product ecosystem grows.

Up to £475/day Outside IR35London2 days per week in OfficeWe are seeking a highly skilled AI Engineer with deep expertise in Agentic AI, Large Language Models, NLP, GenAI pipelines, cloud ML platforms, and vector-based retrieval systems.This is an opportunity to join an advanced AI team building next‑generation intelligent systems, multi‑agent applications, and high‑scale GenAI microservices. You will design, deploy, and optimise production-grade AI/ML systems powering millions of customer interactions.You will work across Python, cloud-native architectures, vector search, RAG frameworks, orchestration engines, and multi-agent systems, shaping AI capabilities that transform how organisations interact, automate, and understand their customers.Key ResponsibilitiesAI / LLM / Agentic EngineeringDesign, build, and optimise agentic AI systems using frameworks such as LangChain, LangGraph, Vertex AI Agent Builder, Bedrock Agents, AgentKit, CrewAI, and custom orchestration.Build LLM-powered applications using models including GPT‑4o/5, Llama3, Claude, Gemini 2.5 Pro, Bard, and enterprise-grade LLM deployments.Implement RAG and CAG architectures using Pinecone, OpenSearch, Google GenAI Search, and custom vector stores.Engineer domain‑tuned embeddings using ADA‑002, Gecko, Word2Vec, BERT, Sentence Encoder, and topic modelling.AI/ML Pipelines & MLOpsDevelop scalable AI/ML microservices using Docker, Kubernetes (EKS/GKE), and CI/CD‑driven automation.Build and enhance pipelines for model evaluation, bias/drift detection, real‑time inference, and monitoring.Optimise inference latency for high‑volume, near-real-time applications such as transcript and behavioural analysis.NLP & Applied Machine LearningApply text clustering, N‑gram analytics, sentiment modelling, intent classification, and summarisation for insight extraction.Refine conversational intent taxonomies and behavioural models for more accurate AI assistant interactions.Data Engineering & Cloud IntegrationUse cloud services including SageMaker, Azure ML Studio, Vertex AI for training, deployment, and monitoring.Manage datasets using GCP Cloud Storage and implement secure, compliant data workflows.AI Governance & Quality AssuranceEstablish guardrails, safety layers, automated evaluation frameworks, and prompt governance patterns.Ensure all AI systems meet stringent data governance, privacy, and financial‑sector compliance requirements.Technical SkillsLanguages & DevelopmentPython, Java, SQL, Shell Scripting, Node.js, StreamlitIDE experience: PyCharm, VS Code, JupyterLab, Eclipse, Notepad++, Sagemaker Studio, Azure ML Studio, Vertex AI WorkbenchPython LibrariesNumPy, Pandas, Matplotlib, Scikit-learn, TensorFlow, Keras, PyTorch, PySpark, SpaCy, SciPy, NLTK, Statsmodels, Boto3, AzureSDKNLP & LLMsBERT, Word2Vec, Universal Sentence Encoder, NLTK, embeddings, fuzzy matching, topic modellingLLM experience: GPT‑3.5/4o/5, Llama2/3, Claude, Gemini, Bedrock models, SQuAD fine‑tuning, custom RAG agentsAI Search & Vector InnovationsPinecone, OpenSearch, LangChain/LangGraph, LangIndex, Vertex AI Search, Vector DBs, RAG pipelines What We're Looking ForProven experience developing production-grade LLM, GenAI, NLP, or agent-based AI systems.Strong engineering foundation across Python, cloud platforms, APIs, and vector search.Experience with complex multi-agent AI orchestration.Ability to deliver high‑scale, low‑latency AI solutions in demanding environments.Strong collaboration, architectural thinking, and a passion for cutting‑edge AI innovation.

Job Title: Data Engineer (BD&A - DAPM Live Service Support) Max Rate: £430 per day inside ir35 Duration: 6 months Location: Telford/hybrid 2 days per week onsite) Active SC security clearance is required for this role. Job Description: We are seeking an SC Cleared Live Support & Monitoring Engineer to provide operational support across a suite of data integration and analytics platforms. This role focuses on maintaining stability, enhancing monitoring capability, and improving service visibility through consolidated dashboards and intelligent alerting. Responsibilities Live Service Support Provide ongoing live support across platforms including: Denodo Talend Pentaho Data Integration (PDI) Git MySQL Amazon Redshift Investigate, diagnose and resolve incidents across data and integration services Work closely with technical teams to maintain service availability and performance Grafana Monitoring & Alerting Design, create and consolidate Grafana dashboards Transform multiple independent dashboards into a unified Live Service view with drill-down capability by service Gather monitoring requirements from stakeholders Configure and implement alerting for legacy services that currently lack monitoring Deliver fit-for-purpose alert thresholds and notifications aligned to operational needs Improve visibility, observability and proactive incident management Experience & Skills Essential Active SC Clearance Experience supporting live production environments Exposure to data platforms such as Denodo, Talend, PDI, MySQL or Redshift Experience creating or maintaining Grafana dashboards Understanding of monitoring, alerting and service observability principles Strong troubleshooting and analytical skills Ability to gather requirements and translate them into monitoring solutions Desirable Experience configuring Grafana alerting Experience working in a client-side environment Knowledge of legacy system monitoring uplift Familiarity with Git version control

Data Analyst – Performance Exciting opportunity for a data analyst, based within a newly established and innovative team, with responsibility for producing in depth and evidence-based insight that maximise the impact of our ability to make a difference for millions of residents. The Housing Ombudsman Service provides independent, impartial and fair dispute resolution services for nearly 5 million households in England. Through resolving disputes effectively and promoting positive change across the social housing sector, we improve residents’ lives and landlords’ services. Reporting to the Performance and Business Information Manager, you will be responsible for: Supporting the development and maintenance of the Housing Ombudsman Service’s data strategy; Analysing and mining the complaint data we hold, alongside other sources, to produce timely and accurate sector performance reports and data visualisations (dashboards) that maximise the impact of our work; and Providing specialist analytical support and advice to the organisation. Key requirements for the role include: Substantial experience of statistical methodologies, data analysis techniques and management information reports; Working knowledge using Power BI or similar tools to interpret and use data sets to produce reports; Experience of working with MS Access, SQL and Report Builder, in addition to data analysis tools, including MS Excel to an advanced level; and Strong verbal and written communication skills and understanding of how to communicate insights gained through analysis to non-technical stakeholders.

Senior Data Scientist London / £70000 - £90000 annum INFO £70000 - £90000 LOCATION London Permanent Senior Data Scientist London £70,000 to £90,000 plus benefits This is an exciting opportunity to join a high‑growth tech business where data science sits at the heart of product innovation. You will shape new AI‑driven capabilities, work with cutting‑edge machine learning, and help transform how customers understand and prevent complex digital challenges. The Company They are a fast‑scaling SaaS organisation operating at the intersection of AI, machine learning, and real‑time behavioural data. Their platform processes billions of events daily and solves technically challenging problems in a rapidly evolving domain. With data science embedded into their core product, this team plays a critical role in defining the next generation of their offering. The Role - Lead the end‑to‑end development of new ML and AI capabilities, from rapid prototyping through to production deployment. - Build MVPs and collaborate closely with Engineering and Product teams to bring ideas to life. - Apply advanced machine learning and LLM techniques, including RAG, agents and NLP, where they drive meaningful customer and product impact. - Work with large‑scale datasets in cloud environments to deliver robust, scalable systems. - Contribute to product strategy through strong experimentation, technical insight, and pragmatic decision‑making. Your Skills and Experience - Strong experience delivering production‑grade ML systems end to end. - Proficiency in Python and SQL, with experience working on cloud‑scale datasets. - Practical experience with LLMs and applied AI, such as RAG, agents, or NLP. - Experience building customer‑facing or product‑centric ML systems. - A product‑focused mindset, balancing experimentation with real‑world value. Useful additional experience includes: - AWS or GCP environments (SageMaker, Bedrock, Lambda, S3, Redshift). - MLOps practices (monitoring, deployment, optimisation). - Working with streaming data, transformer models or recommendation systems. What They Offer - £70,000 to £90,000 salary. - Hybrid working with two days onsite. - 35 days annual leave including bank holidays. - £500 annual wellbeing budget. - Up to £1,500 home office setup budget. - Company pension contribution at 3 percent. How to Apply If you are interested in this Senior Data Scientist opportunity, please apply with your CV or email me at CONTACT Madison Barlow Recruitment Executive SIMILAR JOB RESULTS Systems Integration and Delivery Specialist Preston £450 - £500 + Advanced Analytics & Marketing Insights ContractPreston, Lancashire SYSTEMS INTEGRATION AND DELIVERY SPECIALIST £450 – £500 PER DAY OUTSIDE IR35 5 DAYS IN THE OFFICE (PRESTON) 6 MONTH CONTRACT THE COMPANY: This organisation is undergoing a major systems transformation following the recent implementation of a new ERP platform. With a strong focus on automation, integration, and operational efficiency, they are investing heavily in modernising their systems landscape and driving real-time data visibility across the business. THE ROLE: As a Systems Integration and Delivery Specialist, your key responsibilities will include: - Designing and delivering system integrations and data transfer solutions using middleware tools - Building workflows and automation within ERP to streamline processes across finance, operations, and supply chain - Driving data integrity, governance, and system controls across master and transactional data - Developing reporting solutions using SQL, SSRS, and dashboarding tools to enable real-time business insights - Identifying and implementing opportunities to automate manual finance and operational processes - Leading integrations between ERP, automated warehouse systems, and robotics (AMRs) - Collaborating with internal teams and third-party vendors to build and maintain system interfaces (APIs, file transfers, etc.) - Creating live operational dashboards to track system performance, stock movement, and automation workflows - Establishing contingency processes for system downtime and ensuring business continuity - Supporting user adoption through documentation, training, and change management YOUR SKILLS AND EXPERIENCE: - Proven experience delivering or supporting ERP implementations (e.g. Syspro, SAP, Dynamics, NetSuite) - Strong background in systems integration, automation, and data flows - Hands-on experience with SQL, SSRS, and data/reporting environments - Experience with middleware platforms (e.g. Dataswitch or similar) - Solid understanding of finance processes (e.g. stock, cost of sales, reporting) - Experience integrating with warehouse systems, automated racking, robotics, or WMS platforms - Ability to work across both technical and business stakeholders - Strong project delivery and communication skills - Comfortable operating in fast-paced, transformation-led environments HOW TO APPLY: Please register your interest by sending your CV to Mojola Coker via the apply link on this page. Systems Integration and Delivery Specialist Preston £450 - £500 + Advanced Analytics & Marketing Insights ContractPreston, Lancashire To Apply for this Job Click Here Location: Preston – Full time on site Contract Length: 6 Months IR35: Outside IR35 Rate: £450-£500pd Start: ASAP Overview The environment is stable but under-optimised, with a “vanilla” ERP setup and multiple integrations creating unnecessary complexity. This role will focus on simplifying data flows, improving system connectivity, and unlocking more value from operational and financial data. You’ll play a key role in strengthening the organisation’s data posture while laying the foundations for future reporting and ERP optimisation. Responsibilities: - Improve data extraction, usability, and connectivity from a Syspro ERP environment - Design and deliver custom applications and data transfer solutions using middleware (e.g. Dataswitch) - Build workflows and automation within Syspro to streamline processes (sales orders, production, goods receiving) - Simplify and optimise integrations across APIs, internal systems, and a central data layer - Lead integration between Syspro, Autonomous Mobile Robots (AMRs), and automated racking systems - Work with IT, engineering, and third-party integrators to build and maintain system interfaces - Ensure data exchange protocols (API, file-based, etc.) are secure, scalable, and monitored - Develop SQL-based processes (stored procedures, SSRS reporting, data pipelines) - Build dashboards to enable near real-time visibility of operational KPIs and system performance The role will evolve over time, with scope to expand into broader reporting, ERP optimisation, and data initiatives once core integrations are improved. Success Criteria - Improved integration and connectivity across ERP, automation systems, and data platforms - Simplified, scalable data flows with reduced manual intervention - Increased automation across operational and finance processes - Improved visibility of KPIs and system performance - Clear, demonstrable value delivered through independent ownership Key Requirements Must-have: - Proven experience implementing or working across ERP systems (Syspro highly desirable; SAP, Dynamics, NetSuite also relevant) - Strong SQL skills (including stored procedures) - Experience with APIs, system integrations, and data flows - Experience with SSRS, reporting, or data warehousing concepts - Strong understanding of automation and middleware platforms - Ability to work across technical and business stakeholders Nice to have: - Experience with Syspro (strong preference) - Exposure to Dataswitch or similar middleware tools - Experience with AMR, robotics, WMS, or automated racking integrations - Finance systems knowledge (costing, stock, margin reporting) - Background in manufacturing, pharma, or SaaS environments Profile - Entrepreneurial and proactive mindset - Comfortable working independently in a flat structure - Takes ownership and drives ideas through to delivery - Strong communicator across technical and operational team To Apply for this Job Click Here Data Engineer Manchester £70000 - £90000 + Data Engineering PermanentManchester, Greater Manchester To Apply for this Job Click Here Senior Data Engineer £70,000-£90,000 Manchester (Hybrid) This is an exciting opportunity to join a growing tech scale‑up where data is at the heart of their product. You will play a key role in shaping their data infrastructure, enabling large‑scale machine learning and real‑time analytics that directly impact their customers. THE COMPANY They are a high‑growth SaaS organisation operating in the digital advertising space. Their platform helps customers optimise performance through advanced analytics, real‑time behavioural insights and machine learning. With a collaborative engineering culture and strong investment backing, they are building scalable data systems to support rapid product expansion. THE ROLE As a Data Engineer you will take ownership of the company’s core data pipelines, transforming large‑scale event data into reliable, ML‑ready datasets that power real‑time decisioning and analytics across the business. Specifically, you can expect to be involved in the following: - Design and manage data ingestion pipelines that feed into their cloud data warehouse. - Build and maintain pipelines that prepare data for machine learning and analytics use cases. - Restructure/improve existing datasets to ensure they are reliable, performant and ML‑ready. - Work closely with Data Science and Platform Engineering to productionise models and improve data foundations. - Proven ability to work with high‑volume event data at scale. SKILLS AND EXPERIENCE The successful Data Engineer will have the following skills and experience: - Strong commercial experience in Python, SQL and cloud‑based data engineering. - Hands‑on experience with AWS services such as Redshift, Athena, S3, Glue and ideally Kinesis. - Understanding of streaming data, system performance and cost‑efficient architecture. - A proactive mindset with the confidence to identify and solve problems independently. BENEFITS The successful Data Engineer will receive the following benefits: - Salary between £70,000 – £90,000 – depending on experience. - Competitive benefits. HOW TO APPLY Please register your interest by sending your resume to Majid Latif via the Apply link on this page. To Apply for this Job Click Here Senior Data Scientist Manchester £70000 - £90000 + Data Science & AI PermanentManchester, Greater Manchester To Apply for this Job Click Here Senior Data Scientist Manchester (2 days on site) A high‑growth SaaS scale‑up is hiring a Senior Data Scientist to build their first production AI capabilities. You will work end to end across ideation, prototyping, and deployment, shaping how customers detect fraud, block invalid traffic, and optimise real‑time behavioural analytics. The Company They are a rapidly scaling SaaS business specialising in privacy‑compliant, cookieless analytics. They process billions of data rows weekly to prevent wasteful and fraudulent traffic. Their platform uniquely combines real‑time behaviour modelling, fraud detection, and optimisation. The Role * Deliver full lifecycle AI and ML projects from prototype to production. * Build applied AI workflows including LLMs, NLP, and RAG‑based solutions. * Work with large and messy tabular datasets to create high‑impact models. * Develop classification and optimisation approaches to enhance customer outcomes. * Partner with Product and Engineering to integrate models into the platform. * Lead the transition toward a more AI‑driven product ecosystem. Your Skills and Experience * Strong commercial experience deploying AI and ML systems into production. * Hands‑on experience with LLMs, NLP, or retrieval‑augmented workflows. * Confident working with large‑scale tabular datasets and complex data environments. * Cloud experience, ideally AWS, plus familiarity with MLOps practices. * Background in product‑focused environments or consultancy. * Ability to evidence measurable business impact from previous technical projects. What They Offer * Hybrid working with two office days weekly. * High levels of ownership across AI strategy and delivery. * Opportunity to build the company’s first production AI systems. * Collaborative culture within a scaling SaaS environment. * Clear progression as the AI function grows. How to Apply To register your interest, please apply with your CV. To Apply for this Job Click Here CAN’T FIND THE RIGHT OPPORTUNITY? STILL LOOKING? 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Nottingham Trent House (95002), United Kingdom, Nottingham, Nottinghamshire Senior Software Development Engineer - Data Engineering Senior Software Development Engineer - Data Engineering About this role It’s an exciting time at Capital One UK. We’re on a mission to continue to build and modernise the cloud-based data ecosystem to unlock the power of data, increase financial inclusion and deliver transformative experiences to our customers. The Win with Data team owns the services that form our Data Ecosystem, creating and maintaining API’s, backed by Java and Python microservices to manage and unleash the value of data across the full data lifecycle. From capturing data in real time, making sure it is accurate & easy to use, to enabling analysis for deep insight backed by the power of Cloud based data-stores & scalable machine learning, the Capital One Win with Data team is leading the way. We are seeking a Software Development Engineer to join us on our mission, where you’ll use a number of different languages (such as Java, Python, React/Typescript), to build both front and backend solutions, solving complex problems as we continue to build our next generation data ecosystem, to help our customers . What you’ll do You’ll work as part of a self-organised Data engineering team to design and develop software features that are impactful for the lives of credit card consumers across all walks of life Your focus will be on a major portion of existing or new team software (e.g. significant component, set of features, mid-size application or service). You’ll work to achieve the goals and vision shared by Product Management and your Outcome Team Leadership. You will drive engineering best practices (e.g. Operational Excellence, Security, Quality, etc.) and set standards across your team and wider engineering teams. You will innovate within your team, initiative area and contribute within your technical domain. What we’re looking for Experience performing as a Technical lead within a team, working with stakeholders to deliver great outcomes at pace, whilst influencing across wider Engineering teams, to encourage best practice and coaching of more junior engineers. Strong programming skills with a good working knowledge of modern OO languages/technologies such as Java, Python, React/Typescript. Demonstrable knowledge of creating architectural designs that meet the business need. You’re able to effectively communicate and work together across engineering to maximise inner-sourcing opportunities and reduce waste. You’ll have demonstrated experience delivering high quality applications at scale. Experience of writing multiple test types and can support the team leveraging approaches such as Pair Programming, TDD and BDD. You have experience of leading and delivering complex projects with precision Experience in any of the following would be great however we aim to help you develop in these areas too: Working with the cloud/AWS and the opportunities that it brings. Being comfortable working in a complex regulated environment. Where and how you'll work This is a permanent position and is based in our Nottingham office. We have a hybrid working model which gives you flexibility to work from our offices and from home. We’re big on collaboration and connection, so you’ll be based in our office 3 days a week on Tuesdays, Wednesdays and Thursdays. What’s in it for you Bring us all this and you’ll be rewarded with a role contributing to the product roadmap for an organisation committed to transformation We’re continuing our journey into the public cloud and have problems of scale, security, availability and performance for you to help solve We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance – with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave Open-plan workspaces and facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant and dedicated development resources. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it’s about what you do, not just what you say. That’s why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: REACH – Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies OutFront – to provide LGBTQ+ support for all associates Mind Your Mind – signposting support and promoting positive mental wellbeing for all Women in Tech – promoting an inclusive environment in tech EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry Enabled - focused on supporting associates with disabilities and neurodiversity. Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact ukrecruitment@capitalone.com All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Careers@capitalone.com Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.