Data Engineer
Most transformation projects fail on plumbing. You build the ingestion, the pipelines and the data quality checks that stop that happening.
Data Engineer
Most transformation projects fail on plumbing. You build the ingestion, the pipelines and the data quality checks that stop that happening.
About the role
You will spend real time in client source systems working out what the data actually is, not what the schema says it is. Migration and reconciliation are a large part of the job.
What you will do
- 01Build ingestion and transformation pipelines that run unattended
- 02Reconcile messy source systems into something usable
- 03Design and enforce data quality checks
- 04Plan and execute migrations, with a rollback that works
- 05Model data so downstream teams can answer questions themselves
- 06Document lineage so an auditor can follow it
What we are looking for
- Strong SQL and Python
- Pipeline orchestration in production
- Experience with migration and reconciliation work
- Cares about testing and reproducibility
Useful, not essential
- Warehouse or lakehouse platform experience
- Streaming and event-driven pipelines
- Working with government or institutional data
How hiring works
-
First conversation
Thirty minutes on what you have built and what you want to work on next.
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Practical exercise
A short task drawn from the actual job — done in a session, not over a weekend.
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Meet your lead
A conversation with the person you would report to, then a decision within a week.
We reply to every application, and we never ask for unpaid work.
Apply for this role
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