Senior Data Engineer (Azure)

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.