Senior Data Engineer

The Workplace Investment (WI) Test Data Management CoE is looking for a Senior Data Enablement Engineer to lead the evolution of our internal tools and test data ecosystem. This role will focus on enabling QE teams to efficiently discover, understand and access data across non-prod environments. As a technical leader, you will provide mentorship to data engineers and partners with stakeholders to enhance the development and delivery of test data solutions. This position centers on data navigation, test data ecosystem, data discoverability, SQL-driven data scenarios, Python -driven analysis, and tech data support of QE teams., * You lead test data communication between TDM team and QE teams

• You ensure high data quality and consistency by maintaining and validating test data scenarios
• You collaborate with partner's teams to understand complex data relations, data needs , increase data visibility, and provide test-ready data
• You manage test data creation and modification using existing tools and scripts
• You mentor junior data engineers and promote best practices in test data engineering
• You partner with product owners and stakeholders to enhance the roadmap of test data tools and workflows
• You proactively identify process gaps and lead initiatives to improve automation and efficiency across test data platforms, to ensure data and environment stability

The Team

The WI QE Center of Excellence (CoE) drives engineering excellence and platform stability across WI squads. As part of the Test Data Management team, the Senior Data Engineer plays a pivotal role in delivering clean, scalable, and reliable test data across BU. You'll work closely with engineering leads, QE teams, and TDS contributors to enable faster, safer, and smarter testing through data.

Do you have experience in Visual Studio?, Do you have a Master's degree?, * Bachelor's or Master's degree in Computer Science, Data Engineering, or related field

• 5 years of experience with data analysis, and test data ecosystems
• Strong hands-on skills in SQL and Python
• Knowledge of data modeling, data relations, data flows, data governance, and metadata management
• Familiarity with GitHub, SQL Workbench, Visual Studio and working in Agile development teams
• Ability to mentor and guide junior data engineers
• Experience working with QE teams as a plus
• Strong collaboration, problem-solving, and communication skills