Senior Data Engineer (Azure)

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. • 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). • Collaborate with analysts, developers, and stakeholders to translate business requirements into technical solutions. • Integrate data from various sources, including SQL databases, cloud storage, APIs, and flat files. • Ensure data governance, accuracy, and integrity across the BI ecosystem.

• 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.

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). • Collaborate with analysts, developers, and stakeholders to translate business requirements into technical solutions. • Integrate data from various sources, including SQL databases, cloud storage, APIs, and flat files. • Ensure data governance, accuracy, and integrity across the BI ecosystem.   What we offer:   Get paid, not played No more unreliable clients. Enjoy on-time monthly payments with flexible withdrawal options. Predictable project hours Enjoy a harmonious work-life balance with consistent 8-hour working days with clients. Flex days, so you can recharge Enjoy up to 24 flex days off per year without losing pay, for full-time positions found through Proxify. Career-accelerating positions at cutting-edge companies Discover exclusive long-term remote positions at the world's most exciting companies Hand-picked opportunities, just for you Skip the typical recruitment roadblocks and biases with personally matched positions. One seamless process, multiple opportunities A one-time contracting process for endless opportunities, with no extra assessments. Compensation Enjoy the same pay, every month with positions landed through Proxify. Development data engineering, azure, sql, power bi, python