Data Engineer

Your mission

Do you want to join a growing team of data enthusiasts who operate a modern data platform and build user-friendly data products? Are you passionate about enabling decision making and constantly learning with us? Then our Data Engineering team will be perfect for you!

What you’ll do

Participate in building and operating a data platform that empowers everyone in the company, ensures performance and reliability, and with user-friendliness always in mind.

Shape to the ongoing design of our core data model to support advanced analytics and reporting and define data quality, governance, and lifecycle standards with clear processes and documentation.

Design, implement, and maintain robust, observable data pipelines for ingestion and transformation and applying solid engineering practices (testing, code reviews, CI/CD, versioning)

Partner with stakeholders across product, operations, finance, risk/compliance, and engineering to turn business goals into pragmatic, measurable data solutions.

Contribute to team strategy and roadmapping to align the team’s technical efforts with broader organisational goals.

Who you are

You build production-grade dataflows with Python and SQL, schedule/operate them with Airflow or Dagster, and model/test transformations in dbt.

You’re comfortable in AWS (GCP/Azure welcome) and provision cloud resources in code with Terraform (or similar).

You operate Snowflake thoughtfully, structure roles and permissions, optimise performance and cost

You understand data quality and governance fundamentals (validation, documentation, lineage, privacy).

You bring a growth mindset and willingness to learn with additional bonus points if you have experience with: Kubernetes, Kafka, event collection platform (RudderStack/Segment), data catalogs (DataHub), Apache Iceberg (or other open table formats), and A/B testing/feature flags.