About the role
A health-tech scale-up is building out its data function and hiring a Data Engineer to own the pipelines and platform that power analytics and machine learning across the business.
What you’ll do
- Design and maintain robust, well-tested data pipelines
- Model data for analytics and ML use cases
- Own data quality, lineage and observability
- Partner with analysts and ML engineers to ship reliable datasets
What we’re looking for
- Strong Python and SQL
- Experience with a modern data stack (dbt, Airflow/Dagster, Snowflake/BigQuery)
- Solid software-engineering fundamentals (testing, version control, CI)
- Pragmatism about building the right thing for the stage
Why this one
A greenfield platform, meaningful problem space, and the autonomy to set up data the right way.
Apply for this role
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