AWS Data Engineer (London Area)

A leading global investment bank with a long-standing reputation for excellence, innovation, and client service. With a strong presence in London, are looking to expanding there data engineering capabilities to support critical business functions, regulatory reporting, and data-driven decision-making.

Role Overview

They are seeking a highly skilled AWS Data Engineer to join the London-based data platform team. You will play a key role in building and optimizing scalable, secure, and high-performance data pipelines and infrastructure on AWS. This is a great opportunity to work in a fast-paced, high-impact environment where technology drives the business.

Key Responsibilities

• Design, build, and maintain robust data pipelines using AWS native services (Glue, Lambda, Step Functions, S3, etc.)
• Develop and optimize data lake and data warehouse solutions using Redshift, Athena, and related technologies
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements
• Ensure data quality, governance, and compliance with financial regulations
• Implement CI/CD pipelines for data solutions using tools like CodePipeline, Terraform, or CloudFormation
• Monitor, troubleshoot, and improve the performance and reliability of data systems

Required Skills & Experience

• Proven experience as a Data Engineer working in cloud-native environments (AWS preferred)
• Strong proficiency with Python and SQL
• Extensive hands-on experience in AWS data engineering technologies, including Glue, PySpark, Athena, Iceberg, Databricks, Lake Formation, and other standard data engineering tools.
• Familiarity with DevOps practices and infrastructure-as-code (e.g., Terraform, CloudFormation)
• Solid understanding of data modeling, ETL frameworks, and big data technologies
• Experience working in financial services or regulated industries is a plus

What’s on Offer

• A collaborative and inclusive work environment
• Access to the latest technologies and tools
• Learning and development opportunities
• Competitive compensation package with performance-based bonus
• Flexible hybrid working model