Thirteenth month's salary and 8% holiday allowance
10% Employee Benefit Budget
EUR 1,400 development budget per year
Hybrid working: balance between home and office work (possible for most roles)
A pension, for which you can set the maximum amount of your personal contribution
View all our benefits.
Job TitleData EngineerJob DescriptionIn the Business Lending domain, we support business clients with financial solutions, such as loans, credit facilities, lease, and factoring solutions. Our ambition? To be ahead of the market by enabling 80% of our client requests through fast and seamless digital journeys. Simplification and standardization are crucial to achieve this goal.
Our team plays a pivotal role in this transformation. We firmly believe that data is a key asset in today’s financial world. Our mission is to support data-driven decision making, to ultimately help more business clients.
With our data platform we offer solutions that enable straight-through-processing and fully automated credit origination. We maintain client profiles that are continuously updated with data from client and employee journeys, and we implement risk models used for acceptance decisions.
We have the objective to better understand data: where it comes from, how it is used, what the quality is. We collaborate with product, engineering, and risk teams to continuously unlock new data sources and improve our data landscape.
What you can expectAs a Data Engineer, you collaborate with product, engineering, and modelling teams to ensure we deliver business value. You will work on the design, development, and maintenance of our data platform and implement both ETL pipelines and real-time data ingestion and processing, as well as API development to enable seamless data access and integration.
Your key responsibilities are (1) contribute to the design, scalability and reliability of our data infrastructure, (2) build and optimize data pipelines for both batch and streaming data, (3) enable data-driven solutions.
Your activities include:designing and implementing ETL and real-time data pipelines
developing and deploying containerized applications and APIs to expose data and services
implementing data quality checks and monitoring
providing operational support and troubleshooting for data infrastructure
collaborating with stakeholders to understand requirements and deliver business value
continuously improving our data engineering practices
A completed master’s degree in Computer Science, Software Engineering, or a related field
1–3 years of experience in data engineering, data integration, or software engineering
Strong programming skills in Python
Experience with ETL development
Familiarity with data architectures, SQL & NoSQL databases
Familiarity with cloud platforms (e.g., AWS, Azure or GCP)
Experience with one or more of the following is a plus: PySpark, Airflow, API development, AWS services (e.g., Glue, Lambda, MSK, S3, API Gateway, Fargate, DocumentDB), Docker, Terraform, and building CI/CD pipelines
Questions about the role? Reach out to George Vermeer, Sr Tech Lead: [email protected]
Interviews will be held via video call
Learn more at rabobank.jobs/en/faq
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What We Do
Coöperatieve Rabobank U.A. is a full-range financial services provider that operates on cooperative principles. Its origins lie in the local loan cooperatives that were founded in the Netherlands nearly 110 years ago by enterprising people who had virtually no access to the capital market.
Rabobank Group is comprised of independent local Rabobanks plus Rabobank Nederland, their umbrella organisation, and a number of specialist subsidiaries. Overall, Rabobank Group has approximately 61,100 employees (in FTEs), who serve about 10 million customers in 47 countries.
