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Senior AI Data Engineer – LLM & Market Data (Front Office)

eFinancialCareers · London

Senior 🇬🇧 English
Python ETL ELT AWS Azure Automation tooling Workflow orchestration Observability Monitoring Data quality Cloud-native infrastructure

Job description

About the role

A Tier 1 financial institution is looking for a Senior AI Data Engineer to join a strategic front‑office data and technology function. You will help design and build scalable data platforms that support trading, market data and critical business workflows across multiple asset classes.

Key responsibilities

  • Design, develop and maintain Python‑based data engineering solutions for enterprise platforms.
  • Build scalable ETL and data ingestion pipelines handling large volumes of market, reference and business data.
  • Develop data transformation, validation, reconciliation and quality‑control frameworks.
  • Engineer APIs, automation tools and workflow orchestration to improve data distribution and operational processes.
  • Partner with business, operations and technology stakeholders to capture data requirements and deliver solutions.
  • Contribute to cloud‑native data platform initiatives on AWS, Azure and related technologies.
  • Support onboarding of new data sources and vendor feeds into strategic platforms.
  • Enhance observability, monitoring, lineage and operational controls across data workflows.
  • Participate in architecture discussions and shape future‑state data platform capabilities.

Required profile

  • Strong Python and data‑engineering expertise with a practical understanding of enterprise data platforms in large financial institutions.
  • Proven experience solving complex data challenges and delivering scalable solutions for critical business functions.
  • Ability to work across multiple stakeholder groups and communicate technical concepts effectively.
  • Track record of contributing to high‑visibility, strategic programmes with long‑term impact.

Required skills

  • Python
  • ETL/ELT pipeline development
  • Data transformation, validation and reconciliation
  • Data quality frameworks
  • Handling large and complex datasets
  • AWS
  • Azure
  • API development
  • Automation tooling
  • Workflow orchestration
  • Observability and monitoring
  • Data lineage
  • Cloud‑native infrastructure

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Published 2 months ago

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eFinancialCareers

London