Lead/ VP AWS Data Engineer

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Overview

AWS Data Engineer - VP Level

Location: London (Canary Wharf)

Salary: £(phone number removed) - (phone number removed)

A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative focused on transforming market data access and utilization. This VP-level role offers strategic influence, technical leadership, and cross-functional collaboration across business units.

Responsibilities

  • Design and maintain scalable data pipelines, warehouses, and lakes using AWS technologies.
  • Implement robust data governance, quality, and security practices.
  • Collaborate with data scientists to deploy machine learning models.
  • Lead or contribute to strategic planning, risk management, and stakeholder engagement.
  • Drive innovation through advanced analytics and research-based problem solving.

Requirements

  • 10 years hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools.
  • Previous experience in implementing best practices for data engineering, including data governance, data quality, and data security.
  • Proficiency in data processing and analysis using Python and SQL.
  • Experience with data governance, data quality, and data security best practices.
  • Strong knowledge of market data and its applications.
  • Some other highly valued skills may include:
  • Experience with other data engineering tools and technologies.
  • Knowledge of machine learning and data science concepts.
  • Familiarity with Barclays\' data strategy and practices.

Please send me your CV if you meet these requirements and we can then arrange a call.

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Location:
City Of London
Category:
IT & Technology

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