Senior Data Engineer (Azure)
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.
Apply Now
Apply Now
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.
Apply Now
Apply Now