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# Senior Databricks Engineer

- **Company:** Coöperatieve Rabobank U.A.
- **Location:** Utrecht, Netherlands
- **Experience:** Expert
- **Salary:** €5,030.0 - €7,182.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Programming, Databases, Continuous Integration, Information Engineering, Python (Programming Language), Neo4j, Performance Tuning, Software Construction, Data Streaming, Systems Integration, Software Vulnerability Management, Large Language Models, Mitre Att&ck, Data Lakes, Information Technology, Graphql, Data Management, Terraform, Software Version Control, Static Application Security Testing, Databricks, Dynamic Application Security Testing
- **Published:** October 10, 2026
- **Apply:** https://www.nationalevacaturebank.nl/vacature/e724986b-c0c0-4d58-9c35-22d48bce4124/senior-databricks-engineer

## About the Role

+ 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)
To ensure that we assess all candidates equally for suitability for this position, we do not require a mandatory cover letter. Instead, we ask all candidates the same three questions to see how your profile matches the role. Please pay sufficient attention to answering these questions and explaining your answers; together with your CV, these responses form the basis for our evaluation in this round. Submitting both a CV and answers to the three questions is the minimum requirement to be considered in the selection process. A cover letter is not mandatory but may be submitted optionally.