Senior Data Engineer (Azure)

About this role

About us: Talent has no borders. Proxify's mission is to connect top developers around the world with the opportunities they deserve. So, it doesn't matter where you are; we are here to help you fast-track your independent career in the right direction. 🙂 Since our launch, Proxify's developers have successfully worked with 1200+ happy clients to build their products and growth features. 5000+ talented developers trust Proxify and its network to fulfill their dreams and objectives.

Proxify is shaped by a global network of supportive, talented developers interested in remote full-time jobs. Our Glassdoor (4.5/5) and Trustpilot (4.8/5) ratings reflect the trust developers place in us and our commitment to our members' success. The Role: We are looking for a Senior Data Engineer with deep expertise in Microsoft Azure to join our fast-growing Network. You are a perfect candidate if you are growth-oriented, you love what you do, and you enjoy working on new ideas to develop exciting products.

What we’re looking for: 5+ years in Data Engineering roles. Advanced SQL knowledge: complex queries, performance tuning, stored procedures. Strong understanding of Azure technologies: Azure SQL Database, Data Factory, etc. Proven experience in ETL development, data integration, and pipeline orchestration. Deep understanding of data modeling principles and data warehouse architectures. Knowledge of data governance principles, data quality management, and data security best practices.

Located in CET timezone (+/- 3 hours), we are unable to consider applications from candidates in other time zones. Nice-to-have: Familiarity with Azure Synapse Analytics, Data Lake, and Azure DevOps. Expert in Power BI development, including Power Query, DAX, and Power BI Service. Experience with Python or other scripting languages for data processing. Git or other version control systems for collaboration and CI/CD practices.

Microsoft certifications (Power BI, Azure Data Engineer, or SQL Server). Responsibilities: Design and develop end-to-end data pipelines using Azure Data Factory, SQL, and other Azure services. Implement complex data models, DAX measures, and calculated columns to support reporting. Manage and optimize ETL workflows, ensuring data quality, consistency, and high performance. Design and maintain data warehouses and dimensional models (e.g., star/snowflake schema).