About the 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). * 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.