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Data Engineer
x4 days a week in their London office
Join a fast-scaling, product-led tech company on a mission to transform how their sector performs in real time. With a strong focus on data-led decision-making and seamless mobile experiences, this team is building out their next-generation data infrastructure, and they’re looking for another Data Engineer to help drive that forward.
This is an exciting opportunity to shape the way data flows through a live product used by thousands, while working closely with analytics, engineering, and commercial teams. You’ll be joining a small, high-impact team, reporting to a technical leader with a strong background in applied data architecture.
What You’ll Be Doing
- Designing, building, and maintaining scalable data pipelines to power both internal analytics and customer-facing mobile/web applications
- Developing robust ETL processes for ingesting and transforming data from a variety of sources, particularly APIs
- Creating and optimising data architectures to ensure efficient data storage, processing, and retrieval
- Supporting backend integrations (Python, Django) to ensure clean interfacing between data systems and applications
- Collaborating with stakeholders across Data Science, Product, Ops, and Commercial to shape data models that meet the needs of a growing business
- Supporting CI/CD, data versioning, and monitoring to ensure the reliability and accuracy of production pipelines
- Driving improvements in data access, documentation, and visualisation across the organisation
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What They’re Looking For
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- Proven experience designing and maintaining data pipelines in production environments
- Strong Python and SQL skills; familiarity with frameworks like Airflow, Spark, or similar
- Solid understanding of data modelling, architecture, and warehousing best practices
- Comfort working with cloud platforms (AWS, Azure) and infrastructure tools (e.g. Terraform, SageMaker)
- Willingness to gain intermediate-level backend development skills (especially with Python/Django)
- Bonus: experience with data lakes, CI/CD, and data quality/versioning tools
If this role interests you and you would like to find out more (or find out about other roles), please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).
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