Data Engineer

🕒 May 6

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Auditdata

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 1992

⚕️ Healthcare Insurance

📡 Telecommunications

💰 Venture Round on 2016-07

Healthcare Insurance • Software • Telecommunications

Auditdata is a cloud-based, data-driven practice management software company specializing in solutions for audiology practices. Their offerings include practice management software that optimizes workflows, integrated audiological testing equipment, and screening tools for improved patient care. Auditdata's technology enhances the patient experience at every stage from screening to fitting and aftercare, ensuring efficiency and high-quality service delivery.

📋 Description

• 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

🎯 Requirements

• 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)

🏖️ Benefits

• 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.