Senior Data Engineer (Azure)

About the role

Proxify is seeking a Senior Data Engineer with deep expertise in Microsoft Azure to join its fast‑growing remote network. The role focuses on designing, building, and maintaining robust data pipelines and warehouses for a variety of global clients.

Key responsibilities

• Design and develop end‑to‑end data pipelines using Azure Data Factory, Azure SQL Database and related Azure services.
• Implement complex data models, DAX measures and calculated columns to support reporting in Power BI.
• Manage and optimise ETL workflows, ensuring high performance, data quality and consistency.
• Design and maintain data warehouses and dimensional models such as star or snowflake schemas.
• Collaborate with analysts, developers and stakeholders to translate business requirements into technical solutions.

Required profile

• 5+ years of experience in data engineering roles.
• Advanced SQL knowledge, including complex queries, performance tuning and stored procedures.
• Strong understanding of Azure technologies (Azure SQL Database, Data Factory, etc.).
• Experience with data governance, data quality management and security best practices.
• Located in the CET timezone (±3 hours).

Required skills

• Azure Data Factory, Azure SQL Database, Azure Synapse Analytics, Azure Data Lake, Azure DevOps.
• Power BI development (Power Query, DAX, Power BI Service).
• Python or other scripting languages for data processing.
• Git or other version‑control systems.
• ETL development, data integration and pipeline orchestration.

What we offer

• Paid, on‑time monthly payments with flexible withdrawal options.
• Predictable 8‑hour workdays and up to 24 flex days off per year.
• Access to exclusive long‑term remote positions with cutting‑edge companies.
• One‑time contracting process for endless opportunities without extra assessments.