De positie
Build the data backbone behind the future of banking
Rabobank is transforming into a truly data-driven financial institution. Every interaction with our customers, whether it’s a mortgage, a payment, fraud detection, or personalized financial advice, is powered by data.
But data alone does not create value.
The real challenge is making trusted, discoverable and reusable data available across the organization so that engineers, analysts, data scientists and AI teams can innovate faster. That’s exactly where Data Foundation, Consumer Data comes in.
You will help build the data platform that connects data producers and data consumers across the bank, enabling teams to discover, trust and use data to power advanced analytics, AI models and next-generation customer services.
The journey: from fragmented data to a unified data ecosystem
Historically, data in large financial institutions lives in many different places: legacy systems, operational databases, CRM platforms, risk engines and external data sources.
Rabobank is building a modern data ecosystem in Azure, where data is:
- reliably ingested from hundreds of internal and external systems
- transformed and curated into trusted datasets
- governed through metadata, lineage and quality frameworks
- exposed to consumers via APIs, event streams and analytical platforms
This platform is the foundation for:
- AI-driven customer insights
- fraud detection and risk analytics
- personalized banking experiences
- real-time financial services
- data products used across the bank
To make this possible, we are building a data platform that harmonizes producers and consumers of data across Rabobank.
As a Software Engineer in Data Foundation, you help design and engineer the platform capabilities that make this ecosystem possible.
Your role
As a Software Engineer in the Data Foundation team, you work at the heart of Rabobank’s data platform.
You design and build the infrastructure, pipelines and platform components that allow data to flow through the organization securely and reliably.
Your work enables:
- data engineers to build pipelines faster
- data scientists to train AI models
- product teams to build customer-facing services
- analysts to discover and trust datasets
You will operate with a DevOps mindset, meaning you don’t just build systems, you also ensure they are reliable, scalable and continuously evolving.
This role sits at the intersection of:
- Data engineering
- Cloud infrastructure
- Platform engineering
- Data platform governance
What you will work on
Some examples of what you will help build:
Data platform capabilities
- Scalable data pipelines for ingesting and transforming large datasets
- Databricks-based processing frameworks for analytics and machine learning
- Data catalog and metadata integrations
Cloud-native infrastructure
- Infrastructure-as-Code deployments using Bicep
- Azure-based data services and cloud-native architecture
- CI/CD pipelines for automated platform deployment
Data exposure and integration
- APIs and event-driven architectures (Kafka)
- Data sharing capabilities for downstream teams
- Streaming and batch data integration patterns
Platform reliability
- Observability and monitoring
- Performance optimization
- Security and governance of data pipelines
Over het bedrijf
Rabobank combines large-scale financial services with cutting-edge cloud, data and AI technology, creating one of the most advanced tech environments in the Dutch banking sector.
Wat breng jij
Your technology environment
You will work in a modern Azure-based data platform ecosystem, including:
Cloud & Infrastructure
• Microsoft Azure ecosystem
• Infrastructure as Code (Bicep)
• Azure DevOps pipelines
Data & Analytics
• Databricks (ETL / ELT)
• Azure Synapse
• Azure Data Factory
Programming & scripting
• Python
• Bash / PowerShell
Data platforms
• SQL databases (MSSQL, MySQL, PostgreSQL)
Data integration
• APIs
• Event streams (Kafka)
Version control
• Git (Azure DevOps)
AI integration
• Integration of AI tooling and ML workflows into the platform
What makes this role interesting
You work on a platform used across the entire bank
Your work enables hundreds of engineers, analysts and data scientists.
You help unlock data for innovation
The data platform powers AI models, analytics and next-generation banking products.
You build systems that operate at massive scale
Rabobank processes enormous volumes of financial and customer data.
You work in a true platform engineering environment
You are not building one-off pipelines, you are building reusable data platform capabilities.
What you bring
We are looking for engineers who combine strong software engineering skills with a deep affinity for data platforms.
Required experience
- Strong experience with Azure cloud infrastructure
- Experience building Data / ETL / ELT pipelines (Databricks or similar)
- Experience with SQL-based cloud databases
- Infrastructure-as-Code (Bicep or similar)
- CI/CD pipelines (Azure DevOps)
- Experience exposing data through APIs or event streams
- Strong scripting skills (Python / Bash / PowerShell)
- Experience with Git-based development
Mindset
You are someone who:
- thinks from the user perspective of data consumers
- enjoys collaborating in multidisciplinary teams
- works with a DevOps mindset
- likes improving platforms continuously
- thrives in complex enterprise environments
Why Rabobank
At Rabobank you will work on technology that impacts millions of customers worldwide.
Our tech organization combines:
- strong engineering culture
- large-scale cloud platforms
- data science and AI innovation
- meaningful societal impact
We believe the future of banking is data-driven, personalized and intelligent — and the Data Foundation platform is one of the pillars enabling that future.
