Posted: 4 June
The role
Data Engineer
We're looking for a Data Engineer to embed within our client's finance team and take ownership of how data is structured, moved, and leveraged across the function. This is a hands‐on role focused on transforming and optimising finance data processes, building scalable pipelines, automating workflows, and enabling better insights. You'll play a key role in improving how raw data flows from source to insight, while driving efficiency, accuracy, and smarter decision‐making.
Key Responsibilities
- Build and optimise data pipelines, models, and workflows (AWS)
- Improve how finance data flows from source to reporting and insights
- Automate manual processes and implement data quality checks
- Develop APIs and integrate data across systems
- Support reporting, forecasting, and performance analysis
- Collaborate with Finance, Technology, and the Head of Data
Skills & Experience
- Proven Data Engineering experience delivering scalable solutions
- Strong Python and SQL skills
- Hands‐on AWS experience (ECS, Glue, S3, Aurora/Postgres)
- Experience with APIs, data modelling, and pipeline design
- Strong problem‐solving and stakeholder engagement skills
- Exposure to AI/advanced analytics is a plus
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