About the Role
Our client, a fast-moving fintech owned by one of the largest banks in the Netherlands, is looking for a Data Engineer to turn its AWS data lake into trusted, business-ready datasets. A core data engineering team sources, cleanses and publishes data products. You'll build the consumption layers: dimensional models, data marts and integrations that support reporting, marketing and operational decision-making.
Responsibilities
•Design and build dimensional models and data marts optimised for Power BI
•Develop and run ETL/ELT pipelines, including orchestration, scheduling and monitoring
•Embed data quality controls, validation rules and automated checks
•Build marketing data structures and connect the data lake with marketing technology platforms
•Give Operations and Risk teams self-service datasets and consistent, reusable metrics
•Keep solutions aligned with the wider data lake architecture, engineering standards and governance
Requirements
•Proven Data Engineering experience in an analytics or reporting-focused environment
•Strong dimensional modelling skills, including Kimball, star schemas and data marts
•Hands-on experience with AWS data services such as S3, Glue, Athena, Redshift, Lambda or Step Functions
•Experience designing and orchestrating ETL/ELT pipelines, including scheduling and event-driven processing
•A practical focus on data quality, monitoring and reliable production operations
•The ability to translate business requirements into working solutions and explain technical choices clearly
Nice to Have
•Experience with dbt, Python/SQL, Power BI, marketing data, reverse ETL, banking or fintech
Conditions
No conditions are stated in the posting.
