Lead/ VP AWS Data Engineer

Jefferson Frank; City Of London; On-site; GBP 115,000 - 120,000; Full time

Job summary

A leading financial institution is seeking a Senior AWS Data Engineer to join a greenfield initiative in London. The VP-level position involves designing scalable data pipelines and collaborating with data scientists. Candidates should possess 10 years of experience with AWS technologies and a strong grasp of data governance and security.

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 data engineering technologies

Data governance

Data quality

Data security

Python

SQL

Tools

AWS Glue

PySpark

Athena

Databricks

Lake Formation

Job description

Overview

AWS Data Engineer - VP Level
Location: London (Canary Wharf)
Salary: £115000 - 120000

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.

Qualifications

• 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.

Other valued skills

• 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