Data Engineer (Contract)

Location: Paddington, London (moving to Battersea from June)

Working Model: Hybrid - onsite Wednesday & Thursday

Contract Length: 12 months

Max Rate: £544.47 per day (Umbrella)

Function: AI & Data - Product Engineering

About the Role

Our client is looking for a Data Engineer to join an AI & Data Product Engineering team on a 12-month contract.

This role supports data monetisation initiatives by migrating and modernising complex, large-scale data processes within a cloud-based analytics environment.

You will play a hands-on role in improving data quality, efficiency, and resilience while enabling analytics and visualisation through modern data platforms.

Key Responsibilities

• Migrate complex existing data processes into a Databricks environment, ensuring continuity and performance
• Design, build, and optimise scalable data pipelines using Python, SQL, and distributed computing frameworks
• Rapidly understand high-complexity data processes to support efficient migration
• Drive continuous improvement in data engineering methodologies and tooling
• Ensure new outputs align with existing datasets and downstream analytics requirements
• Collaborate with engineering and analytics teams to support delivery and ways of working

Required Skills & Experience

• Strong experience writing, deploying, and optimising code (Python, SQL, or similar)
• Hands-on experience with Databricks and Apache Spark (or equivalent)
• Solid understanding of databases and efficient analytical query design
• Experience with CI/CD pipelines, workflow automation, and Infrastructure as Code
• Proven experience developing, testing, and deploying complex data models
• Exposure to complex data process migration projects
• Experience using version control systems in collaborative environments
• Hands-on experience with Microsoft Azure
• Experience with tools such as DBT and AI-assisted Scripting tools
• Experience setting up or maintaining Tableau Cloud

Desirable:

• experience with geospatial data and spatial analysis techniques

Apply to to be considered.