Data Engineer

Location: EU, UAAbout 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 platformsPipeline Orchestration: Design and implement Azure Data Factory pipelines for complex data transformation, validation, and migration workflowsData Quality & Validation: Develop data validation frameworks, implement data quality checks, and ensure data integrity throughout migration processesCustomer Migration Projects: Lead end-to-end migration projects for existing customers, including data profiling, mapping, transformation, testing, and cutover executionPerformance Optimization: Analyze and optimize SQL queries, stored procedures, and ETL processes for performance and scalabilityTechnical skills and expertise:4+ years of experience with SQL Server/Azure SQL and T-SQL developmentStrong experience with Azure Data Factory or similar ETL/ELT tools (SSIS, Databricks, etc.)Proven experience designing and implementing data migration solutions and ETL pipelinesFamiliarity with .NET/C#Experience with version control (Git, Azure DevOps) and CI/CD pipelines for data solutionsUpper-intermediate spoken and written EnglishB.Sc.+ degree in Computer Science, Data Engineering, or similarNice-to-haves:Experience with data validation frameworks and automated testing for data pipelinesUnderstanding of healthcare/audiology domain data modelsExperience with incremental data loading patterns and change data capture (CDC)Key traits:Great communication skills to collaborate with development teams, business analysts, and customers across different locationsAbility to analyze complex legacy data structures and design efficient transformation logicStrong problem-solving skills for troubleshooting data migration issuesDetail-oriented with focus on data quality and accuracyYou are learning-driven and always focused on updating your own and your team's knowledge with the latest data engineering tools and best practicesAI friendlyWhat’s in it for you:Remote-first, async-friendly cultureHigh engineering and product standardsA team that values depth over hype: production quality over flashy prototypesA culture that values personal growth as much as business outcomesLong-term engagement in a stable, growing SaaS company Flexible environment with a flat organizational structureA global, diverse, and highly skilled team across Denmark, Ukraine, UK, Poland, Canada, Australia, USA, and more. You don’t match the description 100%? Please don’t hold back! We would love to hear from you.We look forward to your application! (please submit your CV in English)Auditdata is an equal opportunity employer that is committed to create diverse work environment free of discrimination and harassment. We make recruiting decisions based on your experience and skills.