(Senior) Data Engineer – ROP Data Platform

You ensure the smooth operation of ROP's Data Platform.

As a Data Engineer in Data Loom, you design and build the data foundations that power platform-wide visibility. You work across a modern cloud-native stack (AWS and Databricks) and collaborate closely with the ROP platform teams that produce data, as well as internal Rabobank teams whose systems and data we integrate with. You bring both engineering rigour and analytical instinct: you care about pipeline reliability as much as the insights that pipelines unlock.

You & your role

You work as part of the Digital Platform - Backend & Creator Foundation department, together with 15+ contributing teams and around 120 developers, on the internal development platform: the Rabo Online Platform. The foundational services of the Rabo Online Platform facilitate the engineering journey for more than 160+ squads, spanning the entire Retail NL Rabobank and parts of Wholesale and FEC Tech.

Squad Data Loom is responsible for the ROP Data Platform, which contains the data and management insights for Rabo Online Platform’s services spanning across 15+ contributing teams. We are essential in driving quality and adoption across the organisation and provide management reporting on the progress.

Our Tech Stack

• AWS
• Databricks
• Python wheel files
• ETL pipelines on Azure DevOps
• Power BI dashboards

Facts & figures

• Reaching 9.5 million customers globally
• International environment with a focused group of highly skilled team members
• ROP Platform currently reaches 160+ squads, approx. 1,200–1,500 engineers
• Collaboration with 15+ contributing teams on the ROP platform

Top responsibilities

• Design, build, and maintain scalable data ingestion pipelines from ROP platform services into the Data Loom platform
• Package ETL pipelines into Python wheel files
• Develop transformation and enrichment logic to produce clean, reliable datasets for cross-platform insights
• Implement and manage data orchestration using Databricks and AWS storage solutions
• Monitor pipeline health, build alerting, and maintain data quality standards across the platform
• Contribute to the design of the Data Loom data model, ensuring it is scalable, governed, and aligned with Rabobank's enterprise data standards

Together we achieve more than alone

We are curious about what you will bring to team Data Loom in the area Backend and Creator Foundation. The team is responsible for managing and improving data management for the Rabo Online Platform, our internal development platform.

Collaboration is our way of working, increasing the value of our data for Rabobank by improving its quality and reliability to support standardization and simplification.

You & your talent

Essential:

• 3–6 years of hands-on experience as a Data Engineer in a professional setting
• Proven experience with the data engineering fundamentals: ingestion, transformation, and serving of data
• Proven experience building and operating ETL pipelines
• Working experience with Databricks or the Delta Lake / Lakehouse paradigm
• Strong Python and SQL skills; comfortable with PySpark for large-scale transformations
• Ability to design reliable, observable, and maintainable data pipelines — not just build them
• Experience working in cross-functional, agile teams; ability to translate between engineers and non-technical stakeholders
• Familiarity with data governance concepts — lineage, quality checks, access control

Advantageous

• Exposure to data lineage tooling
• Familiarity with internal developer platforms, platform engineering, or developer tooling contexts
• Understanding of enterprise data integration patterns (event-driven ingestion, CDC, API-based extraction)
• Experience with exposing data via APIs using GraphQL
• Experience working within a regulated financial services environment
• Affinity with or experience in AI / LLM-driven analytics or insights

Who you are

• You take end-to-end ownership: you care about what happens to data after it leaves your pipeline
• You are a collaborative engineer — comfortable working directly with platform service teams to agree on data contracts and schemas
• You communicate clearly with team members, engineers and non-technical stakeholders in the guidance teams and are comfortable representing your point of view and expertise
• You are pragmatic: you favour working solutions over perfect ones, and you iterate

To be considered for this position, you must be located in the Netherlands and have the legal right to work in the Netherlands. We are unable to consider candidates requiring relocation from another country.