Lead/ VP AWS Data Engineer

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.

Key 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.

To be successful you should have:

• 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 is you meet these requirements and we can then arrange call