Senior Backend / Data Platform Engineer – Customer Data

ING Hubs Romania

Brussel

Sur place

EUR 90 000 - 120 000

Plein temps

14 jours+
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Résumé du poste

ING Hubs Romania is seeking a platform-focused backend engineer to shape platform development and architecture in a collaborative environment. You will design and implement robust backend services and event-driven components, ensuring scalable, reusable platform code and well-defined APIs.

Responsibilities include data modelling, CI/CD, and platform reliability, while working closely with architects, data stewards, and security teams to maintain a transparent, maintainable platform.

Qualifications

  • 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.

Responsabilités

  • Platform Development & Architecture: Design and implement backend services and event-driven components; build reusable, scalable platform components.
  • API & Integration Design: Design robust, versioned APIs with backward/forward compatibility; integrate with upstream/downstream systems.
  • Data Modelling & Lifecycle Management: Contribute to domain-driven data modelling; manage schema evolution and data lifecycle.
  • Platform Engineering & CI/CD: Contribute to CI/CD pipelines, branching strategies, and deployment practices; support platform and tenant lifecycle separation.
  • Operability & Reliability: Ensure production-readiness and observability; contribute to monitoring, incident resolution, and performance optimization.
  • Collaboration & Knowledge Sharing: Work with architects, data stewards, and product owners; document and share knowledge.

Connaissances

Backend development
Event-driven systems
Event sourcing & CQRS
API design
Distributed systems

Description du poste

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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