Rabobank · Utrecht Croeselaan 18

Senior Databricks Engineer

Examples for practice

Implementing a large-scale data pipeline to ingest, aggregate and enrich findings reported by different tools and deliver prioritized actionable list of findings.

Design practical and complex models to enable other analyst to use of the processed data.

Ensure data quality and reliability

Create insights and dashboards

Top 3 responsibilities

Pragmatic delivery mindset; focuses on delivering value quickly and iterating based on feedback

Product-oriented thinking; treats datasets as products with users and adoption metrics

Strong collaboration; aligns closely with DevOps and application engineers on shared pipelines and contracts

Observability-first approach; ensures data flows are debuggable, transparent, and measurable

Ownership mentality; accountable for data from source discovery to insight delivery

You will work closely with platform engineering and development teams, ensuring solutions are practical, secure, and user-friendly. Your contributions directly impact the efficiency and security of Rabobank’s software delivery.

Together we achieve more than alone

We believe in the power of differences. By combining the diversity of people, we become an even better bank. We are therefore curious about what you will add to our Tech4Dev team.

Tech4Dev develop and manage platform solutions that enable secure and efficient software development. Collaboration is our way of working; as one goal-oriented team within Rabobank. Our culture is characterised by openness, innovation, and a strong focus on continuous improvement.

Work on yourself & the world around you at the same time

For us, your development and that of society go hand in hand. That is 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 & the world around you at the same time”.

You will see this reflected in your personal development budget, our hybrid working environment, and a good balance between work and home. You can work on banking matters for our private and business customers, but also on social issues such as food and energy transitions.

Why everyone is welcome at Rabobank

At Rabobank, we believe we become stronger by bringing together people who complement each other. By embracing our differences, we bring out the best in each other. We seek diversity in knowledge, skills, and experience, but also in gender, background, and culture. We strive for variety and the space to be yourself in every department – whoever you are. That is what diversity and inclusion at Rabobank is all about.

You & your talent

Bachelor’s or master’s degree in computer science or a related field, demonstrating a solid theoretical foundation and analytical ability

At least 4 years of relevant experience in data engineering, building and operating scalable data platforms in production environments

Strong programming skills (Python) with software engineering best practices, including testing (unit/integration) and version control

Solid experience with data engineering fundamentals: ingestion, transformation, serving, and building scalable, production-grade pipelines

Experience designing data models for both analytics and operational use cases, including asset correlation and relationship-driven insights (e.g., graph-based approaches)

Hands-on experience integrating multiple data sources (APIs, event streams, databases), including event-driven or asynchronous data flows

Strong hands-on experience with Databricks (Delta Lake, Structured Streaming, Unity Catalog), including Medallion architecture, performance optimization, and operationalization via workflows and CI/CD (e.g., Terraform, Asset Bundles)

Strong understanding of data quality, validation, observability, and reliability in production environments

Comfortable working in containerized environments and modern DevOps ecosystems

Ability to translate product needs into data logic, including prioritization and risk-based insights

Striving for results (Resultaatgericht): You consistently pursue measurable outcomes and drive projects to completion

Stimulating collaboration (Collaborating): You foster teamwork, encourage knowledge sharing, and build strong relationships across multidisciplinary teams

Nice to have

Familiarity with GraphQL and schema-first APIs

Experience with graph technologies (e.g., Neo4j)

Affinity with or experience in AI / LLM-driven analytics or insights

Familiarity with risk modeling, threat modeling, or frameworks such as MITRE ATT&CK

Experience working with or strong affinity for security data domains (e.g., SAST, DAST, SCA, IaC, CSPM, vulnerability management such as CVEs/CVSS)

Senior Databricks Engineer

This is what we offer you

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You & your role