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Senior Backend / Data Platform Engineer – Customer Data @ ING

Bruxelles Avenue Marnix (ING)OnsiteFull-time
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About this role

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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