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Lead Data Engineer

JPMorgan Chase
London, GBR
Full-time
Lead · 3+ years experience
Onsite
Discovered 2 weeks ago
SQL

Full Job Posting

Job responsibilities

  • Supports review of controls to ensure sufficient protection of enterprise data
  • Uses enterprise-authorized AI capabilities within the work environment to accelerate data pipeline/design analysis and documentation, validating outputs and handling data according to sensitivity and security requirements.
  • Responsible for making configuration and customization changes to generate a product at business or customer requests and advising colleagues in requests
  • Updates logical or physical data models based on new use cases
  • Frequently uses SQL and understands NoSQL databases and their niche in the marketplace
  • Applies reuse-first, AI-assisted practices to strengthen SDLC-quality routines for data pipelines (e.g., test generation and control validation), ensuring traceability/auditability and alignment to resiliency and security expectations.

Required qualifications, capabilities, and skills

  • A. Formal training or certification on data engineering concepts and 3+ years applied experience (NAMR/APAC – India/LATAM/Hong Kong)
  • B. Formal training or certification on data engineering concepts and advanced applied experience (EMEA/LATAM-Brazil)
  • C. Singapore follow local country guidance
  • Experience across the data lifecycle
  • Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity.
  • Ability to review and validate AI-assisted outputs (e.g., query suggestions, test ideas, or model change summaries) before use, escalating when uncertain and following data handling requirements.
  • Advanced SQL skills (e.g., joins and aggregations) and working understanding of NoSQL databases
  • Significant experience with statistical data analysis and able to determine appropriate tools and data patterns to perform analysis
  • Experience customizing changes in tools to generate product outputs
  • Preferred qualifications, capabilities, and skills

Preferred Qualifications

  • Preferred qualifications, capabilities, and skills

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