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 Rabobanks 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 Rabobanks 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

• Bachelors or masters degree in computer science or a related field, demonstrating a solid theoretical foundation and analytical ability
• Around 35 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)

You & the application process

• Questions about working at Rabobank and the procedure? Ashley Lumbantobing via Ashley.Lumbantobing@rabobank.nl
• The answers to frequently asked questions can be found at rabobank.jobs/nl/veelgestelde-vragen.
• A reliability assessment is part of the procedure.
• We respect your privacy.