Senior Data Engineer Wholesale & Rural (GenAI)

Design and implement robust data pipelines that power analytics and AI solutions for Rabobank, supporting over 9.5 million customers worldwide.  

Drive innovation by building secure, scalable data platforms within the Azure and Databricks ecosystem. As a Senior Data Engineer, you collaborate with data scientists and business stakeholders to operationalise AI models and ensure compliance with Rabobank’s standards. You enable advanced analytics and GenAI workflows, integrating diverse data sources for impactful solutions.  

Within Wholesale & Rural, we are building an ambitious GenAI agenda that creates real value for clients and our colleagues. Our GenAI team is the engine of this transformation: a multidisciplinary group where data engineers, data scientists, prompt engineers, business analysts work together to deliver scalable, secure and reliable AI solutions. We run the total lifecycle of GenAI product development, from idea to implementation in our GenAI Impact Lab. The team works closely with the central GenAI Acceleration Office and colleagues around the world.  

As data engineer you will join an environment that offers autonomy, technical depth and clear, visible impact. You will help build the GenAI stack for the future and shape how thousands of colleagues worldwide use AI in a responsible, efficient and enjoyable way. 

• Build and optimise secure, scalable data pipelines for ingestion, transformation, and retrieval of structured and unstructured data.  

• Enable AI and GenAI workflows by integrating data sources with LLM-based applications and retrieval-augmented generation (RAG) pipelines.  

• Operate within the Azure ecosystem and Databricks environment for experimentation.  

• Leverage Azure AI Search, Azure AI Document Intelligence, and other approved services.  

• Partner with business teams and governance bodies to align technical solutions with organisational objectives.  

• Mentor other engineers and contribute to technical excellence and innovation culture.  

• 36 hours per week. 

• Operate within the Azure ecosystem and Databricks environment for experimentation.  

• 9.5 million customers worldwide. 

• Develop and maintain secure, scalable data pipelines using Python, SQL, and Databricks, ensuring compliance and technical excellence. 

• Integrate Azure AI services and vector databases to support advanced analytics and GenAI workflows. 

• Mentor engineers and foster a culture of innovation and collaboration within the team. 

You will be part of a dynamic data engineering team at Rabobank, collaborating across departments to deliver strategic data solutions. The team is committed to technical excellence, innovation, and supporting Rabobank’s mission to grow a better world together. 

We believe in the power of differences. It is precisely by combining people's differences that we become an even better bank. We are curious about what you add to our team of  

For us, your development and that of society go hand in hand. That’s why we want to invest in you and work together for a better world. We summarise this in one sentence: ‘At Rabobank, you work on yourself and the world around you at the same time. You’ll see this reflected in your personal development budget, our hybrid working environment, and a healthy balance between work and home. You can work on banking services for our private and business customers, as well as societal issues such as food and energy transitions.’ 

At Rabobank, we believe we become stronger through people who complement each other. By embracing our differences, we bring out the best in one another. We seek diversity in areas such as knowledge, skills, and experience, but also in gender, background, and culture. Across every department, we strive for variety and the freedom to be yourself – whoever you are. That’s what diversity and inclusion at Rabobank is all about. 

• Master’s or Doctorate in Data Science, Computer Science, or related field. 

• Minimally 4 years of experience in a similar role.

• Knowledge of LLM architectures and agentic frameworks (e.g., multi-agent orchestration, tool-augmented reasoning).

• Certifications in Azure AI Engineer or equivalent. 

• Experience in financial services or regulated industries. 

• Excellent communication and stakeholder engagement skills, you engage directly with different stakeholders to align technical solutions with their needs.

• To be considered for this position you must be located in the Netherlands.

• Questions about the role: contact Rogier de Haan via [email protected] 

• Questions about working at Rabobank and the process? Contact Lisa Boschma, corporate recruiter, [email protected] 

• If you are invited for an interview, Bo, our virtual assistant, will contact you via SMS and email to schedule it. 

• Answers to frequently asked questions can be found at rabobank.jobs/nl/veelgestelde-vragen. 

• A reliability check is part of the procedure. 

• We respect your privacy.