Senior Data Platform Engineer — AI‑Driven Modernization & AWS

EPAM Systems; United Kingdom; Hybrid; GBP 90,000 - 120,000; Full time

Job summary

EPAM Systems in London, United Kingdom, is seeking a Senior Data Platform Engineer to design, build and modernize large-scale data platforms in a hybrid setting. You will work on SQL Server optimization, API services, and AWS-based architectures to support critical business systems.

You'll tackle performance tuning, data processing pipelines, and integration with legacy environments while applying AI-assisted development tools to accelerate delivery and improve reliability.

Qualifications

• Extensive experience with large relational data estates and high-volume data.
• Backend development experience with C# and API design for distributed systems.
• Strong SQL Server expertise and performance tuning.

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 legacy platforms while driving modernization initiatives.
• Improve query performance, indexing strategies, and overall processing efficiency.
• Build and maintain services within AWS environments for scalable architectures.
• Implement automation, monitoring, and operational enhancements to improve reliability.
• Contribute to engineering standards 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

C# proficiency

API development

AWS cloud

Data platform design

Analytical skills

Problem solving

AI-assisted tooling

Education

Bachelor's degree in Computer Science or Engineering

Tools

C#

.NET

AWS

Job description

EPAM Systems in London, United Kingdom, is seeking a Senior Data Platform Engineer to design, build and modernize large-scale data platforms in a hybrid setting. You will work on SQL Server optimization, API services, and AWS-based architectures to support critical business systems.

You'll tackle performance tuning, data processing pipelines, and integration with legacy environments while applying AI-assisted development tools to accelerate delivery and improve reliability.