Junior-Mid Data Engineer

This is a newly created role, built to grow the platform team in step with the platform it has delivered. You'll own the steady stream of day-to-day support requests - pipeline fixes, data-quality cleanup, access requests - and build deep, first-hand knowledge of the data estate that compounds over time. It's a genuine launchpad role: you'll grow from well-defined, lower-risk work toward more complex backend tasks as your platform knowledge builds.

Profile for Success

• Core Skills: Working knowledge of SQL and at least one modern pipeline/transformation tool, dbt strongly preferred.
• Debugging Mindset: Demonstrated comfort reading and debugging someone else's pipeline code, not only writing new code from scratch.
• Cloud Exposure: Some exposure to a cloud data platform (Fabric, Azure Synapse/Data Factory, Databricks, or Snowflake).
• Support Orientation: Evidence of genuinely enjoying ticket-based support work - examples of triage, root-cause, fix, document, move on.
• Early-Career Curiosity: Junior to ~2 years experience, with clear curiosity and the ability to pick up an unfamiliar codebase or data model quickly.
• Care with Production: Careful, methodical approach to production data changes.