DATA QUALITY & GOVERNANCE ENGINEER

Data Quality & Governance Engineer

London / £70000 - £80000 annum

INFO

SALARY:

£70000 - £80000

LOCATION

London

Permanent

£80,000

LONDON

This is a key hire into a growing data and AI function within a regulated financial services environment. The role offers a strong mix of hands‑on technical work and data governance ownership, with the chance to shape how data quality and trust is embedded across the business.

THE COMPANY

Our client is a fast‑growing financial services organisation providing core banking and technology services to a broad range of businesses, including fintechs and SMEs. They operate in a highly regulated environment and are investing heavily in their data platform as part of continued growth. This role has been created due to increasing demand for trusted, high‑quality data across the organisation.

THE ROLE

• Take ownership of data quality and governance across key business domains
• Build and maintain data quality metrics using SQL and dbt, ensuring accuracy and reliability
• Implement and manage the organisation's data governance tooling, including metadata, lineage and documentation
• Work closely with stakeholders to define data standards, metrics and data definitions
• Support finance and analytics teams by improving visibility into data quality and source reliability
• This role is heavily hands‑on (circa 75% technical), while also offering real ownership over governance practices and tooling.

YOUR SKILLS AND EXPERIENCE:

• Experience in data quality, analytics engineering or data engineering roles
• Strong SQL skills and hands‑on experience with dbt
• Understanding of data governance concepts such as data lineage, data dictionaries and quality frameworks
• Experience working with data quality metrics and validation processes
• Comfortable working with stakeholders and translating business requirements into technical metrics
• Experience with governance or metadata tools is advantageous

SALARY AND BENEFITS

• £70,000 - £80,000 base salary
• Bonus scheme
• Pension contribution
• Hybrid working model (2 days per week in London)

HOW TO APPLY

Please register your interest by sending your CV to Harry Lack through the 'Apply' link.

CONTACT

Harry Lack

Recruitment Consultant

SIMILAR
JOB RESULTS

Senior ML Platform Engineer – Robotics

London

£500 - £750

+ Data Science & AI

Contract

London

Senior ML Platform Engineer – Robotics

London, Hybrid
Contract – Long Term
Salary: Competitive

Harnham are working with a growing robotics and AI company that is looking for a Senior ML Platform Engineer to join their team in London.

This is a hands-on platform engineering role, focused on owning the software, tooling, web UI, and infrastructure layer used by data operators, ML engineers, and robotics engineers.

You will be responsible for building and improving the internal applications and orchestration tooling that support robot data collection, dataset workflows, model training infrastructure, and on-robot deployment.

The Role

You will:

* Own and extend internal web applications used for robot data collection, review, QA, and dataset publishing
* Build and maintain FastAPI backends, vanilla JavaScript frontends, CLI tooling, and supporting services
* Improve recording workflows, state machines, config validation, batch processing, stale-data recovery, and archival processes
* Containerise and orchestrate services to ensure reliable deployment across machines and lab environments
* Partner with ML engineers on dataset building, ingestion pipelines, distributed training infrastructure, and high-throughput data workflows
* Work with robotics engineers on ROS2 integration, robot data streams, deployment workflows, and hardware-adjacent platform tooling
* Improve testing, CI, observability, reliability, and performance across concurrent and IO-heavy systems

Essential Skills

You must have:

* Senior-level software engineering experience, ideally 5+ years
* Strong production Python experience
* Experience with typing, async/await, threading, multiprocessing, and concurrent workloads
* FastAPI or another async Python web framework
* Vanilla JavaScript, including DOM manipulation, fetch, and WebSockets
* Experience building internal tooling, operator tooling, platform tooling, or workflow orchestration systems
* Strong CLI tooling experience, including argparse or Click, config validation, subcommands, and clear error handling
* Docker, CI, automated testing, and reproducible environments
* Strong software engineering fundamentals, including algorithms, data structures, networking, memory, IPC, and systems-level thinking
* Experience with high-throughput data pipelines, distributed systems, or performance-sensitive IO workloads
* Experience orchestrating external CLI tools from Python via subprocess, ideally ffmpeg or similar data/media processing tools

Nice to Have

It would be useful to have:

* Distributed ML training infrastructure experience, such as PyTorch DDP, FSDP, DeepSpeed, sharded datasets, streaming readers, or GPU utilisation profiling
* ROS2 experience, including publishers, subscribers, QoS, message types, and topic debugging
* Experience working with physical robot hardware, camera streams, joint states, or latency-sensitive control paths
* OpenCV, NumPy, pandas, PyTorch, JAX, cloud, HPC, or LeRobot dataset format experience
* Experience working closely with ML researchers or robotics engineers in a fast-moving technical environment

The Company

The company is building advanced robotics and AI systems and is looking for someone who can sit at the intersection of software engineering, ML infrastructure, data tooling, and robotics integration.

This is a strong opportunity for a senior engineer who wants real technical ownership and the chance to build the platform layer that supports robotics data collection, model training, and deployment.

Senior Strategy and Analytics Manager

London

£90000 - £120000

+ Risk Analytics

Permanent

London

To Apply for this Job Click Here

Role Title
Senior Strategy & Analytics Manager

Salary
£90,000-£120,000

Location + work pattern
London (Hybrid – 3 days in office)

The Company:

• A fast-growing FinTech
• Established player in the UK market with strong investment backing and international growth plans
• A data-driven business with a strong focus on innovation, performance, and customer outcomes

The Role

• A high-impact strategic analytics role focused on optimising collections and recoveries performance
• Combining deep data analysis with commercial thinking to influence key business decisions

Specifically, you can expect to be involved in:

• Developing and improving collections and recoveries strategies using data-driven insights
• Analysing large and complex datasets to identify trends and performance opportunities
• Partnering with teams across operations, finance, product and engineering
• Balancing commercial performance with customer outcomes
• Managing and mentoring junior team members

Your Skills and Experience

• Proven experience in analytics or data-led strategy roles (5+ years)
• Strong SQL skills with the ability to work with complex, multi-source datasets
• Ability to translate data into clear, actionable insights
• Experience in fast-paced, commercial environments such as financial services or consulting
• Strong stakeholder management and communication skills
• Stem degree from a top university

The Benefits

• Competitive salary with bonus or equity potential
• Hybrid working with flexibility
• Generous annual leave allowance
• Learning and development support
• Clear progression opportunities within a growing business

The Process

• Initial interview focusing on experience and motivations
• Technical SQL assessment
• In-person case study and technical discussion
• Final leadership interview
• Offer!

How to Apply
Please register your interest via the apply link on this page.

To Apply for this Job Click Here

Risk Pricing Manager

£65000 - £80000

+ Risk Analytics

Permanent

Leicestershire

To Apply for this Job Click Here

Role Title
Risk Pricing Manager

Salary
£65,000-£80,000 + benefits

Location + work pattern
Leicester (1 day a week)

THE COMPANY
This organisation is a well-established digital insurer with a strong focus on data, analytics, and innovation. They are continuing to invest in pricing and analytics to improve decision-making and enhance customer outcomes in a highly competitive market.

THE ROLE
This is a leadership role within a home pricing team, responsible for delivering pricing insights and driving improvements to risk and commercial performance. You will balance team leadership with hands-on analytical work, contributing to both pricing strategy and execution.
Specifically, you can expect to be involved in:

• Leading and developing a small team of analysts, providing guidance, coaching and prioritising workloads
• Analysing customer, market and risk data to identify opportunities to enhance pricing performance
• Enhancing and refining pricing models using new data sources and analytical techniques
• Translating insights into actionable pricing strategy recommendations
• Collaborating with actuarial, data science and commercial teams to optimise pricing decisions

YOUR SKILLS AND EXPERIENCE

• Experience in pricing, analytics or a related field within insurance or a data-driven environment
• Strong analytical capability with experience working with large datasets and statistical models
• Working knowledge of Python, R or similar coding languages, plus SQL skills
• Ability to interpret data and translate findings into clear commercial recommendations
• Strong communication skills and the ability to engage with both technical and non-technical stakeholders
• Experience managing or mentoring analysts, or a clear interest in developing leadership skills

THE BENEFITS

• Hybrid working model with flexibility
• Annual bonus scheme
• Private medical insurance and life assurance
• Pension contributions and broader financial wellbeing support
• Generous annual leave plus additional flexible benefits

THE PROCESS

• Initial screening conversation
• First stage interview
• Technical case study stage
• Final stage discussion
• Offer!

HOW TO APPLY
Please register your interest via the apply link on this page.

To Apply for this Job Click Here

Head of Analytics and Data Science

London

£100000 - £140000

+ Data Science & AI

Permanent

London

To Apply for this Job Click Here

Head of Analytics and Data Science

London, hybrid (2 to 3 days per week)

The Company
They are a well known, consumer focused organisation operating across multiple business units and partner networks. Despite strong brand recognition, the central team operates with a lean, agile, and entrepreneurial mindset similar to a scale up. Data is a key focus area, with significant investment in building a modern, insight driven organisation. Their work spans loyalty programmes, customer engagement, and commercial performance.

The Role
You will lead the combined Analytics and Data Science function, with responsibility for strategy, delivery, and stakeholder engagement across the business.
Key responsibilities include:
* Bringing together separate Analytics and Data Science teams into a unified function
* Leading and developing a team of managers and specialists across analytics and data science
* Setting the roadmap for customer focused data initiatives, including loyalty and pricing optimisation
* Driving adoption of self service analytics and improving data accessibility across the organisation
* Leading the overhaul and optimisation of dashboards and reporting frameworks
* Partnering with senior stakeholders across multiple business units to influence decision making

Your Skills and Experience
* Strong commercial experience leading both Analytics and Data Science functions
* Proven ability to define and execute data strategies in consumer focused organisations
* Experience delivering data transformation programmes, including self service analytics and reporting improvements
* Background in customer analytics, loyalty, or pricing related use cases
* Strong stakeholder management skills, with experience influencing senior leadership
* Solid technical grounding in data science and analytics, with the credibility to guide teams and review outputs

What They Offer
* Bonus and competitive benefits package
* Hybrid working model with a central London office
* Opportunity to shape a key function within a growing data organisation
* High visibility role with influence across multiple business areas
* Clear scope to drive transformation and long term impact

How to Apply
If you are interested in leading a data function at the intersection of analytics, data science, and AI, apply now to find out more.

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