Lead Data Engineer Insights Platform

• 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.

You shape and deliver the foundations of a self-service Insights Platform used by thousands of colleagues across Financial Economic Crime, enabling faster, more reliable insights at scale.

Build and lead a new engineering capability by designing and delivering a scalable Insights Platform that enables trusted data products and reusable metrics across Financial Economic Crime. As Lead Data Engineer Insights Platform, you work in a greenfield environment where you define standards, architecture, and ways of working while enabling teams to deliver production-grade insights.

• Designing and implementing robust data pipelines and contracts for reusable insights across multiple domains.
• Setting up platform infrastructure with governance, reliability, and quality controls embedded from day one.
• Leading a new engineering team and coaching engineers to deliver secure, production-ready data solutions.

• 36–40 hours per week.
• You serve 8,000 colleagues with Financial Economic Crime data products.
• Over 48,000 Rabobank colleagues worldwide.

• Drive engineering leadership by setting technical direction, ensuring high-quality delivery, and balancing speed with production-grade standards across the platform.
• Collaborate closely with product teams and architects to translate user needs into scalable, future-proof platform solutions.
• Enable teams by mentoring engineers, improving technical maturity, and fostering a culture of reliability, ownership, and continuous improvement.

You lead the technical evolution of the Insights Platform, focusing on scalability, governance, and reusability. You ensure teams can independently create, share, and consume trusted insights while preparing the platform for advanced analytics and artificial intelligence capabilities.

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

“You will join at the start of a new platform journey and help build a trusted, scalable marketplace for insights that supports decision making at the highest levels of the bank.”

We are responsible for delivering reliable, reusable insights across Financial Economic Crime. Collaboration is our way of working; as one data-minded team within Rabobank. You work closely with other lead data engineers and tech leads in a strong engineering community where knowledge sharing and continuous improvement are central.

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. We summarize this in one sentence: “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 healthy work-life balance. You work on banking solutions for our clients and contribute to 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 enjoy working, enabling us to better serve our customers.

• Bachelor's or master's degree in e.g. computer sciences.
• 7+ years’ experience as a Data Engineer in a complex IT landscape.
• 3+ years’ experience in a leading position in a similar environment.
• Experience in or affinity with software development in the financial sector, the payment sector in particular is preferable.
• Great analytical and problem-solving skills.
• Agile mindset and experience in working agile/scrum teams.
• Experienced in working with, SQL and developing ETL solutions.
• Experienced in working with Azure data platform. For example ADF, Databricks, Synapse, Azure DevOps.
• Experienced in testing pipelines which are built on Azure with system and regression tests.
• Experienced with OPS work like monitoring and solving incidents.
• Knowledge of Apache Airflow.
• Knowledge of data modelling and data management is preferable.
• Knowledge of Python Spark is preferable.
• Knowledge of client and payments data is preferable.

• If you are invited for an interview, Bo, our virtual assistant, will contact you via SMS and email to schedule the interviews.
• You can find answers to frequently asked questions at Rabobank.jobs/en/faq/.
• • Assessments and a reliability screening are part of the procedure.
• We respect your privacy.

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