AWS Data Engineer

Radley James

London

1 week ago

Applications closed

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Staff Data Engineer (AWS)

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

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