Lead/ VP AWS Data Engineer

Tenth Revolution Group; City Of London; On-site; GBP 60,000 - 80,000; Full time

Job summary

A leading financial institution is seeking an experienced AWS Data Engineer at the VP level to join a greenfield initiative in London. This role involves designing scalable data pipelines and collaborating with data scientists to drive innovation. Applicants should have 10 years of experience with AWS technologies and strong data analysis skills. This position offers strategic influence in a cross-functional environment.

Qualifications

• 10 years hands-on experience in AWS data engineering technologies.
• Proficiency in data processing and analysis using Python and SQL.
• Strong knowledge of market data and its applications.

Responsibilities

• Design and maintain scalable data pipelines using AWS technologies.
• Implement robust data governance, quality, and security practices.
• Collaborate with data scientists to deploy machine learning models.

Skills

AWS technologies

Glue

PySpark

Athena

Python

SQL

Tools

Databricks

Lake Formation

Job description

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.