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EPAM Systems, Inc.

Greater London / Global

Senior Data Platform Engineer

  • Hybrid

Job Description

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.ResponsibilitiesDevelop and optimize SQL Server queries, stored procedures, and data-processing workflowsDesign and implement backend services and robust APIs for enterprise systems and integrationsSupport existing legacy platforms while driving iterative modernization initiativesImprove query performance, indexing strategies, and overall processing efficiencyBuild and maintain services within AWS environments to enable scalable architecturesImplement automation, monitoring, and operational enhancements to improve reliabilityContribute to engineering standards, best practices, and platform-wide improvementsCollaborate with architects, engineers, and product teams to deliver business-critical solutionsLeverage AI-assisted development tools as part of modern engineering workflowsRequirementsStrong SQL Server capability including advanced queries, indexing, and performance tuningExperience with large relational data estates and high-volume structured dataBackend development proficiency in C# or readiness to quickly transition to C#Knowledge of designing and building APIs for distributed systemsFamiliarity with AWS cloud services and deployment practicesCompetence in working within complex enterprise or legacy technology environmentsUnderstanding of ETL processes and data-processing pipeline designAbility to apply AI-assisted development tools effectivelyStrong analytical and problem-solving skills with attention to performance and scalabilityNice to have Experience within financial data or market-data environmentsDegree in Computer Science, Engineering, or equivalent practical experience

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