Data & Integration Engineer

Key Responsibilities:

1. System Analysis & Design

• Analyse business/technical requirements and translate them into data flows and integration designs
• Work with upstream and downstream teams to define data contracts and interfaces
• Identify gaps, inefficiencies and risks in current data movement processes
• Propose pragmatic solutions balancing speed, quality and maintainability

2. Integration & Data Movement

• Design and implement data movement across systems using:

  • APIs
  • SFTP and file based transfers
  • Batch pipelines

• Coordinate integrations across systems in the DataLake ecosystem (Informatica, Cloudera, etc.)

• Ensure data is correctly transformed, mapped and delivered to target systems

• Troubleshoot integration issues across environments

3. Data Preparation for GenAI

• Support data ingestion and preparation for GenAI use cases:

  • document ingestion
  • data aggregation
  • enrichment and transformation

• Work with structured and unstructured data

• Ensure data is usable for downstream AI workflows (RAG, search, investigation flows)

4. Delivery & Coordination

• Work across multiple teams:

  • data platforms
  • application teams
  • infrastructure
  • security

• Support SIT, UAT and production rollouts

• Ensure integration reliability, error handling and monitoring

• Document flows, mappings and interfaces clearly

Skills

• Data Engineering
• System Integrations
• Python, SQL, Informatica