Senior Data Lineage Engineer

• Salary: Gross monthly salary between EUR 4,931 and EUR 7,043 (scale 09) for a 36-hour work week.
• Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
• Development budget: EUR 1,400 development budget per year for your growth and development.
• Hybrid working: a balance between home and office work (possible for most roles).
• Pension: decide for yourself the amount of your personal contribution.

Or view all our benefits.

Build and scale enterprise-wide data lineage capabilities that support automated metadata capture for dozens of DevOps teams, strengthening data transparency across platforms used by over 49,000 colleagues worldwide.

Build and scale Rabobank’s enterprise data lineage platform as Senior Data Lineage Engineer by designing automated metadata ingestion, lineage APIs and reusable connectors. You work in an international environment and contribute directly to Rabobank becoming a more data-driven digital bank by improving trust, transparency and control of data flows.

You collaborate with platform and application teams and apply open standards to enable consistent, reliable and automated lineage across cloud platforms and data services.

• Scale OpenLineage by integrating metadata from data platforms and applications such as orchestration tools, streaming services and analytical environments in public cloud.
• Build and evolve a centralized lineage repository using open metadata formats and expose lineage via versioned application programming interfaces and software development kits.
• Develop automated ingestion and validation pipelines that reduce manual onboarding and improve metadata reliability for multiple DevOps teams.

• 40 hours per week.
• Automated metadata ingestion supports dozens of DevOps teams across the bank.
• Over 49,000 Rabobank colleagues worldwide.

• Design and operate scalable, event-driven metadata ingestion pipelines and application programming interfaces that support enterprise-wide data lineage in cloud environments.
• Enable engineering teams by providing reusable tooling, templates and guidance that accelerate metadata onboarding and improve lineage adoption.
• Improve reliability, observability and performance of lineage services through monitoring, automation and resilient deployment patterns.

Build and scale automated lineage services and integrations that support standardized metadata capture across platforms and applications, ensuring data transparency and regulatory readiness at scale.

We believe in the power of differences. By combining people's differences, we become an even better bank. We are curious about what you will bring to our team.

The team workstogether on building and improving Rabobank’s data and analytics platforms. Collaboration is our way of working; as one data-minded and technical team within Rabobank.

For us, your development and that of society go hand in hand. That is why we invest in you and work together to create a better world. At Rabobank, you work on yourself and the world around you simultaneously.

This is reflected in your personal development budget, our hybrid work environment and a good work-life balance. You also work on banking solutions for clients and on social challenges such as the food and energy transitions.

At Rabobank, we work toward a culture where everyone feels welcome. We value differences and use them to collaborate more effectively and make better decisions. By being open to different perspectives, we create an environment where colleagues feel heard and supported.

• Experience in data engineering, platform engineering or metadata/lineage engineering within complex environments.
• Strong understanding of OpenLineage standards, event models and technical metadata capture patterns.
• Familiarity with open‑source metadata technologies, schemas and interoperable metadata formats; experience contributing to or building open‑source tools is a strong plus.
• Hands‑on experience with modern data services and orchestrators (e.g., Spark, Airflow, Databricks).
• Experience with event streaming technologies such as Apache Kafka.
• Ability to design, build and optimize automated ingestion pipelines and reusable metadata connectors.
• Proficiency in Java (Spring Boot) and Python, including building REST APIs with Spring, FastAPI or Flask; front‑end experience with React to build simple self‑service tools is a plus.
• Cloud experience with AWS and/or Azure, and operating services with Docker and Kubernetes; familiarity with CI/CD and cloud‑native architectures.
• Strong problem‑solving skills with the ability to collaborate across squads and platform teams.
• A mindset focused on automation, simplification and building scalable, reliable engineering solutions.
• Fluent in English.

• Questions about working at Rabobank and the procedure? Oscarvan Dijk, Recruiter via oscar.van.dijk@rabobank.nl
• After you send your resume and motivation letter, you will receive a response from us as soon as possible. Two interviews will be part of the application process; interviews will take place.
• If you are invited for an interview, Bo, our virtual assistant, will contact you via SMS and email to schedule the interview.
• You can find answers to frequently asked questions here.
• A reliability screening is part of the procedure. We respect your privacy.

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