Dev Ops Engineer

About the role

This is what we offer you Gross monthly salary between € 5.030 and € 7.183 (scale 09). Thirteenth month's salary and 8% holiday allowance 10% Employee Benefit Budget EUR 1,400 development budget per year Hybrid working: balance between home and office work (possible for most roles) A pension, for which you can set the maximum amount of your personal contribution View all our benefits. Job Title Dev Ops Engineer Job Description Are you interested into Cyber Security and willing to help develoeprs to build safer solutions to be more secure against hackers? Join Tech4Dev and make a real impact on Rabobank's cybersecurity landscape. Read on or apply now! 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 Facts & figures 36 hours per week Over 10 teams supported with platform solutions 43,822 Rabobank colleagues worldwide 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