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Senior Backend / Data Platform Engineer – Customer Data

ExperiencedNo visa sponsorship
ING Bank logo

at ING Bank

Other

Posted 12 days ago

No clicks

**Senior Backend / Data Platform Engineer – Customer Data:** Develop and maintain robust backend services, APIs, and data models for our Multi-tenant Architecture Data Platform (MADP). Key responsibilities include platform architecture, API design, data modeling, and lifecycle management. Must have strong backend development experience (Java/Spring Boot), event-driven systems knowledge (Kafka), and API design skills. Bring 5+ years of relevant experience to this senior role, collaborating with cross-functional teams to ensure reliability and performance.

Compensation
Not specified EUR

Currency: € (EUR)

City
Brussels
Country
Belgium

Full Job Description

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

Senior Backend / Data Platform Engineer – Customer Data

Compensation

Not specified EUR

City: Brussels

Country: Belgium

ING Bank logo
Other

12 days ago

No clicks

at ING Bank

ExperiencedNo visa sponsorship

**Senior Backend / Data Platform Engineer – Customer Data:** Develop and maintain robust backend services, APIs, and data models for our Multi-tenant Architecture Data Platform (MADP). Key responsibilities include platform architecture, API design, data modeling, and lifecycle management. Must have strong backend development experience (Java/Spring Boot), event-driven systems knowledge (Kafka), and API design skills. Bring 5+ years of relevant experience to this senior role, collaborating with cross-functional teams to ensure reliability and performance.

Full Job Description

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