4 of 4 Data Engineering Jobs in West London

Role Purpose The Data Analyst/Data Engineer will lead the discovery, interpretation, and presentation of data to enable AI-driven solutions for our client, embedded within operational teams. The role focusses on turning complex, often legacy, datasets into clear insight, narrative, and decision-ready outputs, while … ensuring data foundations are sufficiently robust to scale across OpCos. This position requires strong analytical judgement, stakeholder consultancy skills, and hands-on capability to shape and evolve supporting data pipelines. Contract - 6 months (high possibility to extend further) Location - waterside (UB7 0GB) Hybrid - 2-3 days onsite ...

Description Role Details Job Title: Data Architect Location: Heathrow (2 to 3days) Duration of the Assignment: 6 Months Job Purpose and Primary Objectives Design and evolve data architecture aligned with business, analytical, and engineering needs. Lead end to end architecture for cloud native data solutions … AWS. Define standards, patterns, and best practices for data modelling, data flows, and platform usage. Develop scalable Snowflake based data architectures including warehouses, databases, schemas, roles, and secure data sharing. Key Responsibilities (Please specify if the position is an individual one or part of a team ...

Responsibilities Enterprise Data Modelling Standards Define and own a group‐wide data modelling standard, including Star Schema patterns, Snowflake object hierarchies, and modelling conventions that underpin all analytical and operational data products. Cross‐Cloud Data Orchestration Design and implement secure, high‐throughput data pipelines across … cloud platforms, integrating AWS S3 and Azure‐based APIs through Snowflake. Ensure data integrity, lineage, and end‐to‐end auditability. Snowflake Security & Governance Own the end‐to‐end Snowflake security model, including RBAC design, dynamic data masking, row‐level security, and comprehensive audit logging across development, test ...

Data Scientist – AI/ML Role: Develop advanced AI/ML models to drive value from operational data and build scalable solutions adaptable across business units. Key Responsibilities: Build predictive & prescriptive models Perform EDA and feature engineering Collaborate with data engineering teams Translate insights into … business impact Deploy, monitor, and optimize models Create reusable, scalable AI solutions Requirements: Strong Python & ML frameworks (TensorFlow/PyTorch) Solid statistics & data science expertise Experience in end-to-end model deployment Exposure to ML, optimization, simulation, or GenAI Strong stakeholder communication skills Consulting mindset with quick impact delivery ...