Senior Data engineer
Senior Data engineer voor een fintech op AWS, secondment in Amsterdam; bouwt data modellen en ETL/ELT pipelines voor Power BI en marketing.
- Locatie
- Amsterdam
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Eisen
- Proven experience as a Data Engineer in an analytics or reporting-focused environment
- Ownership from requirement to production, a collaborative attitude and the ability to explain data to business people
- A strong focus on data quality, monitoring and operational excellence
- ETL/ELT pipeline design, orchestration (e.g. Airflow), scheduling and event-driven processing
- Hands-on experience with AWS data services (e.g. S3, Glue, Athena, Redshift, Lambda, Step Functions)
- Strong dimensional modelling skills (Kimball, star schemas, data marts)
Wensen
- Python/SQL
- banking or fintech experience
- Power BI
- dbt
- marketing data or reverse ETL
Volledige omschrijving
Our client, a fast-moving fintech owned by one of the largest banks in the Netherlands, runs a uniform data lake on AWS. A core data engineering team sources, cleanses and publishes the data products; you make that data truly usable. You build the consumption layers – dimensional models, data marts and integrations – that power reporting, marketing and operational decision-making across the business. It is a hands-on role with real ownership: you gather requirements with business stakeholders, design the model, build and run the pipelines and make sure the data can be trusted.
What you will do: Design and build dimensional data models and data marts optimised for Power BI; Develop and operate ETL/ELT pipelines with orchestration, scheduling and monitoring; Build in data quality controls, validation rules and automated checks; Design marketing data structures and integrate the data lake with marketing technology platforms; Deliver pre-integrated, self-service datasets and reusable metrics for Operations and Risk teams; Work within the data lake architecture, standards and data governance.
What you bring: Proven experience as a Data Engineer in an analytics or reporting-focused environment; Strong dimensional modelling skills (Kimball, star schemas, data marts); Hands-on experience with AWS data services (e.g. S3, Glue, Athena, Redshift, Lambda, Step Functions); ETL/ELT pipeline design, orchestration (e.g. Airflow), scheduling and event-driven processing; A strong focus on data quality, monitoring and operational excellence; Ownership from requirement to production, a collaborative attitude and the ability to explain data to business people.
Nice to have: dbt, Python/SQL, Power BI, marketing data or reverse ETL, banking or fintech experience.
Why IQ: Staffing IQ Staffing connects IT and data professionals with the leading financial institutions in the Netherlands. We support freelancers and employees with fast feedback, transparent rates and a personal point of contact throughout the assignment.
Bekijk bij IQ Staffing (opent in een nieuw tabblad)
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