Data Engineer

Location: EU, UA About the role: As a member of Auditdata's development group, you will become part of the data engineering team developing and maintaining sophisticated data migration and analytics solutions for audiology clinic chains. You will design and implement repeatable ingestion and transformation pipelines, ensure data quality and reconciliation, and collaborate with product and engineering stakeholders to onboard new data sources efficiently and safely. Tech stack we use: MS SQL Server / Azure SQL, T-SQL (stored procedures, views), Azure Data Factory, Azure Blob Storage, and basic .NET knowledge for tooling/integrations. We wildly use variety of AI tools, like Claude Code and others. What you will do: 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 pro