Senior Data Platform Engineer

We're looking for a Senior Data Platform Engineer to join our team in London, United Kingdom in a hybrid working mode.

This role focuses on designing, building and optimizing large‑scale data platforms that combine legacy enterprise systems with modern AWS-based architectures. You will work on performance tuning, API development, and platform modernization, while ensuring stability of critical services. The position requires strong SQL Server expertise and the ability to operate confidently across complex systems. It also offers an opportunity to leverage AI-assisted development tools to accelerate delivery and improve engineering workflows.

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

Requirements

Strong SQL Server capability including advanced queries, indexing, and performance tuning

Experience with large relational data estates and high-volume structured data

Backend development proficiency in C# or readiness to quickly transition to C#

Knowledge of designing and building APIs for distributed systems

Familiarity with AWS cloud services and deployment practices

Competence in working within complex enterprise or legacy technology environments

Understanding of ETL processes and data-processing pipeline design

Ability to apply AI-assisted development tools effectively

Strong analytical and problem-solving skills with attention to performance and scalability

Nice to have

Experience within financial data or market-data environments

Degree in Computer Science, Engineering, or equivalent practical experience

We offer

EPAM Employee Stock Purchase Plan (ESPP)

Protection benefits including life assurance, income protection and critical illness cover

Private medical insurance and dental care

Employee Assistance Program

Competitive group pension plan

Cyclescheme, Techscheme and season ticket loans

Various perks such as free Wednesday lunch in-office, on-site massages and regular social events

Learning and development opportunities including in-house training and coaching, professional certifications, and courses

If otherwise eligible, participation in the discretionary annual bonus program

If otherwise eligible and hired into a qualifying level, participation in the discretionary Long-Term Incentive (LTI) Program