Data engineer in fintech

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.

• 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.

• 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.
• Будет плюсом: Experience with dbt, Python/SQL, Power BI, marketing data, reverse ETL, banking or fintech would be a plus

• Условий в вакансии нет