Rabobank · Utrecht Croeselaan 18

Medior 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

Around 3–5 years of relevant experience in data engineering, working with data pipelines and platforms in production environments

Good programming skills (Python) and familiarity with software engineering practices such as testing and version control

Experience with core data engineering concepts: ingestion, transformation, and serving of data

Experience designing data models for analytics and/or operational use cases

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

Experience working with Databricks (e.g., Delta Lake, Structured Streaming, Unity Catalog) and familiarity with data architecture patterns such as Medallion (bronze/silver/gold)

Basic understanding of performance optimization and operating pipelines in production (e.g., workflows, monitoring, CI/CD)

Understanding of data quality, validation, and observability concepts

Comfortable working in containerized environments and modern DevOps setups

Ability to translate functional or product requirements into data pipelines and insights

Eagerness to learn about prioritization and risk-based data insights

Striving for results (resultaatgericht): You work towards clear outcomes and are motivated to deliver value

Stimulating collaboration (Collaborating): You work well with others and are open to feedback and knowledge sharing

Nice to have

Familiarity with GraphQL and schema-first APIs

Exposure to graph-based data models or technologies (e.g., Neo4j)

Interest in or experience with AI / LLM-driven analytics

Basic familiarity with risk modeling or threat modeling (e.g., MITRE ATT&CK)

Interest in or exposure to security-related data domains (e.g., SAST, DAST, SCA, IaC, CSPM, vulnerability management such as CVEs/CVSS)

Medior Databricks Engineer

This is what we offer you

Job Title

Job Description

You & your role