Senior Data Platform Engineer: AWS, SQL & AI Tools

EPAM Systems, Inc.; Greater London; Hybrid; GBP 90,000 - 130,000; Full time

Job summary

EPAM Systems, Inc. in London is seeking a Senior Data Platform Engineer to design, build, and optimize large-scale data platforms that blend legacy systems with modern AWS-based architectures.

You will design performant SQL Server queries, APIs, and data-processing workflows while supporting modernization initiatives. The role requires strong SQL Server expertise, backend development in C#, and the ability to operate across complex enterprise environments.

Qualifications

• Experience with large relational data estates and high-volume data.
• Strong SQL Server expertise with advanced queries and indexing.
• Backend development in C# and building APIs for distributed systems.
• Experience with AWS and enterprise/legacy environments.
• Ability to apply AI-assisted development tools.

Responsibilities

• Develop and optimize SQL Server queries, stored procedures, and data-processing workflows.
• Design and implement backend services and robust APIs for enterprise systems and integrations.
• Support existing legacy platforms while driving iterative modernization initiatives.
• Improve query performance, indexing strategies, and overall processing efficiency.
• Build and maintain services within AWS environments to enable scalable architectures.
• Implement automation, monitoring, and operational enhancements to improve reliability.
• Contribute to engineering standards, best practices, and platform-wide improvements.
• Collaborate with architects, engineers, and product teams to deliver business-critical solutions.
• Leverage AI-assisted development tools as part of modern engineering workflows.

Skills

SQL Server

Performance tuning

Data platforms

AWS

API development

C# backend

ETL design

AI tools

Analytical thinking

Collaboration

Education

Bachelor's degree in CS

Job description

EPAM Systems, Inc. in London is seeking a Senior Data Platform Engineer to design, build, and optimize large-scale data platforms that blend legacy systems with modern AWS-based architectures.

You will design performant SQL Server queries, APIs, and data-processing workflows while supporting modernization initiatives. The role requires strong SQL Server expertise, backend development in C#, and the ability to operate across complex enterprise environments.