Dev Ops Engineer

Are you interested into Cyber Security and willing to help developers to build safer solutions to be more secure against hackers? Join Tech4Dev and make a real impact on Rabobank’s cybersecurity landscape.

You & your role

Develop innovative security platform to process reported quality and security findings of systems and with enrichment and connecting the data, creating more in-depth insights to improve the security posture view and faciliate the prioritization of risks.

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 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

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.

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).