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Senior Data Engineer (Azure) at Proxify. Location Information: CET (+/- 3 hours). 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.