Senior Databricks Engineer

Rabobank; Utrecht; Hybrid; EUR 56,000 - 80,000; Full time

Benefits offered by this job

Thirteenth month

8% holiday allowance

Employee Benefit Budget 10%

Job summary

Rabobank is seeking a Cyber Security Data Platform Engineer to advance security data processing and analytics. You will build scalable data pipelines, model datasets for analytics, and collaborate with DevOps and application engineers to deliver measurable security improvements.

You will work in a hybrid setup across platform engineering and development teams, focusing on practical, secure, and user-friendly solutions that enhance Rabobank’s cybersecurity capabilities.

Qualifications

• Bachelor's or Master’s in computer science or related field.
• 4+ years of experience in data engineering on production platforms.
• Proficient in Python with testing and version control.
• Experience building scalable data pipelines for analytics and operations.
• Experience designing data models for analytics and asset relationships.
• Experience integrating data from APIs and event streams.
• Hands-on Databricks experience: Delta Lake, Structured Streaming, Unity Catalog; CI/CD with Terraform.
• Strong focus on data quality, observability, and reliability in production.
• Experience with containerized environments and modern DevOps.
• Ability to translate product needs into data-driven insights and collaborate across teams.

Responsibilities

• Implement a large-scale data pipeline to ingest, enrich, and prioritize findings.
• Design practical data models to enable analysts to use processed data.
• Ensure data quality and reliability across production pipelines.
• Create insights and dashboards to guide security decisions and risk prioritization.

Skills

Python programming

Data engineering

Data modeling

APIs integration

Event streams

CI/CD

DevOps

Observability

Data quality

Containerization

Education

Bachelor's or Master’s in Computer Science or related field

Tools

Databricks

Terraform

CI/CD pipelines

Neo4j

GraphQL

Delta Lake

Unity Catalog

Job description

• Salary: Gross monthly salary between EUR 5,030 and EUR 7,183 (scale 09)for a 36-hour work week.
• Extras: a thirteenth month, 8% holiday allowance, and a 10% Employee Benefit Budget.
• Development budget: EUR 1,400 development budget per year for your growth and development.
• Hybrid working: a balance between home and office work (possible for most roles).
• Pension: decide for yourself the amount of your personal contribution.

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
  

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.

• 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)