Senior Data Engineer
SKILLS
FULL DESCRIPTION
Senior Data Engineer (Contract)
Rate: £600 per day (outside IR35)
Length: 6 months initially
Location: 2-3 days per week in Liverpool
Start date: ASAP
About the Role
We’re looking for a Senior Data Engineer to play a key role in modernising a legacy Business Objects data warehouse, migrating to a modern Azure and Databricks platform. This is an opportunity to take ownership across discovery, build and deployment, helping shape a new cloud-based data environment with real impact across the business.
Key Responsibilities
- Lead discovery activities to understand the current Business Objects data warehouse, dependencies, data flows and reporting needs
- Design and build modern data pipelines and data models on Azure and Databricks to support analytics and downstream consumption
- Migrate and re-platform data from legacy systems into the new cloud environment, ensuring accuracy, performance and reliability
- Collaborate with stakeholders to capture requirements and translate them into practical, scalable engineering solutions
- Drive best practice across data engineering, including quality, monitoring, performance optimisation and deployment processes
- Support deployment activities, release planning and operational readiness as the new platform goes live
Person Requirements
- Proven experience as a Senior Data Engineer delivering data warehouse modernisation or migration projects
- Strong SQL expertise (advanced querying, optimisation, data modelling concepts)
- Hands-on experience with Databricks and Azure data services in a production environment
- Experience building end-to-end solutions: discovery, design, build, test and deploy
- Strong communication skills and the ability to work effectively across technical and non-technical teams
- A pragmatic approach to problem-solving with a focus on delivering reliable, maintainable solutions
Next Steps
If you’re a Senior Data Engineer ready to lead a move to Databricks on Azure and want a role where your work will shape a modern data platform, we’d like to hear from you. Shortlisting will take place on the 7th, 8th and 9th April with a quick turnaround expected for interviews and start.
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