ML/Data Engineer

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.