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# Dev Ops Engineer

- **Company:** Coöperatieve Rabobank U.A.
- **Location:** Utrecht, Netherlands
- **Experience:** Experienced
- **Salary:** €5,030.0 - €7,183.0
- **Contract:** Permanent contract
- **Skills:** Application Programming Interfaces (APIs), Artificial Intelligence, Computer Programming, Databases, Continuous Integration, Data Architecture, Information Engineering, Python (Programming Language), Neo4j, Performance Tuning, Software Engineering, Data Streaming, Systems Integration, Software Vulnerability Management, Large Language Models, Mitre Att&ck, Data Lakes, Graphql, Software Version Control, Data Pipelines, Static Application Security Testing, Databricks, Dynamic Application Security Testing
- **Published:** June 5, 2026
- **Apply:** https://www.careerjet.nl/jobad/nle6af9e7f14dc874dd1c49cc457d28e6e

## About the Role

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)



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