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Senior Backend / Data Platform Engineer – Customer Data



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Key Responsibilities

1. Platform Development & Architecture

  • Design and implement backend services supporting MADP capabilities
  • Contribute to an event-driven architecture (event sourcing, CQRS, messaging)
  • Build and evolve platform-level components (not just feature-specific code)
  • Ensure solutions are reusable, scalable, and aligned with platform principles

2. API & Integration Design

  • Design and implement robust, versioned APIs for data access and integration
  • Ensure backward/forward compatibility and stability of API contracts
  • Integrate with upstream and downstream systems (e.g. OnePAM ecosystem)

3. Data Modelling & Lifecycle Management

  • Contribute to domain-driven data modelling
  • Manage schema evolution, ensuring minimal impact on consumers
  • Ensure alignment with data governance and data quality rules
  • Understand and handle data lifecycle complexity (creation, update, deletion, versioning)

4. Platform Engineering & CI/CD

  • Contribute to CI/CD pipelines, branching strategies, and promotion flows
  • Support the separation between:
    • Platform lifecycle
    • Tenant/domain lifecycle
  • Improve automation, deployment standards, and engineering practices

5. Operability & Reliability

  • Ensure solutions are production-ready and observable
  • Contribute to:
    • Monitoring & observability
    • Incident resolution
    • Performance optimization
  • Support a high availability, multi-tenant platform

6. Collaboration & Knowledge Sharing

  • Work closely with:
    • Architects, Data Stewards, and Product Owners
    • Operations and Security teams
  • Actively document, explain, and share knowledge
  • Contribute to a transparent and maintainable platform (no “black box” systems)

Required Skills & Experience

Core Technical Skills

  • Strong experience in backend development (Java / Spring Boot or similar)
  • Proven experience with event-driven systems (Kafka or equivalent)
  • Solid understanding of:
    • Event sourcing and CQRS patterns
    • Distributed systems design
  • Strong experience in API design and integration patterns

Data & Platform Expertise

  • Experience with:
    • Data modelling (schema design, evolution)
    • Handling data lifecycle and versioning
  • Familiarity with data governance and access control concepts
  • Experience building or contributing to platforms (not just applications)

DevOps & Engineering Practices

  • Knowledge of:
    • CI/CD pipelines
    • Git branching strategies
    • Deployment and release management
  • Familiarity with cloud and distributed infrastructure
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Natalia Janczewska

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ING’s vision is to unlock our people’s full potential through our inclusive culture where everyone has the opportunity to develop and have impact for our customers and society. To achieve this vision, our policies support diversity, equity, and inclusion. As an equal opportunity employer, we do not tolerate discrimination of any kind with regard to age, gender, gender identity, cultural background, experience, religion, race, ethnicity, disability, family responsibilities, sexual orientation, social origin, or any other status protected by applicable law. If you require any assistance or if we can accommodate you in any way when participating in our application and/or interview process, please email the recruiting contact listed for the relevant position. We will be happy to work with you to ensure a fair and accessible process. Read more about our commitment to diversity, inclusion and belonging here.

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