Medior Data Engineer – Inspector Gadget

Create scalable data platforms that power personalized banking experiences for millions of customers, using modern cloud technology and working in a squad of data specialists across the bank.

Medior Data Engineer – Inspector Gadget

You & your role

Design, build and improve robust data solutions as a Medior Data Engineer within team Inspector Gadget. You work on scalable data pipelines in the cloud, collaborate daily with analysts, scientists and engineers, and make data reliable, accessible and compliant across Rabobank.

Examples from practice

• Designing a new end-to-end data pipeline in the cloud to support personalized customer insights.
• Improving data quality and governance to meet strict privacy and regulatory standards.
• Collaborating in a cross-functional squad to optimize existing data platforms for performance and scalability.

Top 3 responsibilities

• Develop and optimize scalable data pipelines in the cloud, ensuring performance, reliability and long-term maintainability across multiple data domains.
• Safeguard data quality, lineage and compliance by applying governance standards and privacy regulations in daily engineering work.
• Work closely with data scientists, analysts and product owners to translate business needs into concrete, data-driven solutions.

You contribute to building future-proof data platforms that support innovation and personalization. You continuously balance speed, quality and compliance in a complex banking environment.

Together we achieve more than alone

The 9 people of Inspector Gadget build and maintain data platforms that enable trusted, high-quality data for the entire organization. Collaboration is our way of working; as one data-minded, analytical team within Rabobank.

Work on yourself & the world around you

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

You & your talent

• At least 5 years of experience in data engineering within complex data environments.
• Proven experience with Python and SQL combined with cloud-based data platforms.
• Hands-on experience with cloud technologies such as Azure and data processing frameworks like Apache Spark.

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