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We're looking for an experienced Data Engineer (contract) to provide short-term cover. This is a hands-on, delivery-focused role, stepping in to support several business-critical projects.

You'll work through a prioritised backlog of well-scoped engineering tasks within a Databricks on Azure environment, requiring minimal handholding and little deep business context to get moving. You'll work closely with the client's existing Data Engineer as your main day-to-day point of contact, with reporting into the Head of Data. This is a remote role, with the expectation of getting on-site in London once or twice a month.

Key responsibilities:

Build, maintain and optimise data pipelines within Databricks on Azure.
Pick up and deliver against an existing, prioritised list of data engineering tasks.
Work independently on well-defined technical tasks with limited business context required.
Collaborate closely with the existing Data Engineer and report progress to the Head of Data.
Support wider data projects and initiatives as priorities evolve.

Key skills:

Strong, demonstrable experience with Databricks and the Azure data stack.
Solid general data engineering fundamentals (pipeline design, data modelling, orchestration, performance/cost optimisation, testing).
Able to work autonomously and get up to speed quickly with minimal onboarding.
Strong communicator, easy to work with day-to-day - team fit is important given the close daily collaboration required.
Financial services / wealth management experience is a plus but not essential.

If this sounds like a good fit, apply now!

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