Design and Develop Migration Solutions: Create and enhance data migration pipelines, stored procedures, and ETL processes to migrate customer data from legacy systems to modern platforms
Pipeline Orchestration: Design and implement Azure Data Factory pipelines for complex data transformation, validation, and migration workflows
Data Quality & Validation: Develop data validation frameworks, implement data quality checks, and ensure data integrity throughout migration processes
Customer Migration Projects: Lead end-to-end migration projects for existing customers, including data profiling, mapping, transformation, testing, and cutover execution
Performance Optimization: Analyze and optimize SQL queries, stored procedures, and ETL processes for performance and scalability

4+ years of experience with SQL Server/Azure SQL and T-SQL development
Strong experience with Azure Data Factory or similar ETL/ELT tools (SSIS, Databricks, etc.)
Proven experience designing and implementing data migration solutions and ETL pipelines
Familiarity with .NET/C#
Experience with version control (Git, Azure DevOps) and CI/CD pipelines for data solutions
Upper-intermediate spoken and written English
B.Sc .+ degree in Computer Science, Data Engineering, or similar
Nice-to-haves: Experience with data validation frameworks and automated testing for data pipelines; Understanding of healthcare/audiology domain data models; Experience with incremental data loading patterns and change data capture (CDC)

Remote-first, async-friendly culture
High engineering and product standards
A team that values depth over hype: production quality over flashy prototypes
A culture that values personal growth as much as business outcomes
Long-term engagement in a stable, growing SaaS company
Flexible environment with a flat organizational structure
A global, diverse, and highly skilled team across Denmark, Ukraine, UK, Poland, Canada, Australia, USA, and more.

Data Engineer

Key skills