Senior Data Software Engineer

We are looking for a Senior Data Software Engineer to join our team. This role is ideal for someone who enjoys designing resilient data solutions that support critical business decision-making. You'll work closely with a team that values clean, well-tested code and strong engineering practices. If you're motivated by solving complex data challenges at scale, this position offers plenty of room to grow and make an impact

Responsibilities

• Design and build scalable data pipelines that support reliable data movement across multiple systems
• Develop and maintain data ingestion processes from a variety of source systems
• Write clean, efficient, and well-tested code following strong software engineering practices
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
• Monitor data pipeline performance and proactively address issues to maintain system reliability
• Participate in code reviews to uphold quality standards and share knowledge across the team
• Troubleshoot and resolve data quality issues, ensuring accuracy and consistency across datasets
• Contribute to the ongoing improvement of data architecture and engineering standards
• Document technical processes and solutions to support knowledge sharing and team onboarding
• Work within an agile environment, participating in sprint planning and other team ceremonies

Requirements

• A minimum of 3 years of relevant professional experience
• Strong hands-on experience with PySpark and Spark SQL for building and processing large-scale data workflows
• Experience building and managing Lakeflow pipelines and Jobs for data orchestration
• Proficiency with Auto Loader and JDBC/CDC ingestion methods, working with sources such as DB2 and SQL Server
• Solid experience with Delta Lake and Unity Catalog for managing data storage and governance
• Background ensuring data quality and performing source reconciliation to maintain accurate, trustworthy datasets
• Experience writing unit tests using pytest to validate code reliability and correctness
• Working knowledge of Git and Asset Bundles for version control and deployment management
• Upper-intermediate English language skills or higher (B2)

Nice to have

• Experience with DataStage migration projects
• Background in Dynamics 365/Dataverse data extraction
• Databricks certification

Benefits

• International projects with top brands
• Work with global teams of highly skilled, diverse peers
• Healthcare benefits
• Employee financial programs
• Paid time off and sick leave
• Upskilling, reskilling and certification courses
• Unlimited access to the LinkedIn Learning library and 22,000+ courses
• Global career opportunities
• Volunteer and community involvement opportunities
• EPAM Employee Groups
• Award-winning culture recognized by Glassdoor, Newsweek and LinkedIn