AWS Data Engineer

Radley James; Greater London; On-site; GBP 80,000 - 120,000; Full time

Job summary

A leading global investment bank is looking for a highly skilled AWS Data Engineer to join their London-based data platform team. This role involves building and optimizing scalable data pipelines and infrastructure on AWS, ensuring data quality and compliance with regulations. The ideal candidate will have strong proficiency in Python and SQL, and experience with AWS data engineering technologies. The position offers a collaborative work environment and competitive compensation.

Benefits

Collaborative work environment

Access to latest technologies and tools

Learning and development opportunities

Competitive compensation package with performance-based bonus

Flexible hybrid working model

Qualifications

• Proven experience as a Data Engineer in cloud-native environments.
• Extensive hands-on experience in AWS data engineering technologies.

Responsibilities

• Design, build, and maintain robust data pipelines using AWS services.
• Collaborate with data scientists and analysts to understand data requirements.

Skills

Python

SQL

Data Modeling

ETL Frameworks

DevOps Practices

Tools

AWS Glue

AWS Lambda

AWS Redshift

AWS Athena

Terraform

CloudFormation

Job description

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

Seniority level

• Seniority level

  Not Applicable

Employment type

• Employment type

  Full-time

Job function

• Job function

  Finance, Information Technology, and Engineering

• Industries

  Banking, Investment Banking, and Financial Services

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