Senior Data Engineer (Azure)

Proxify AB | Anywhere in the World

Okude ngokuphelele Isikhathi esigcwele Uhlelo lokuthuthukiswa kwesofthiwe
Ukukhombisa uhlu lokuqala (English) Bona ukuhumusha
Ulwaziso

Headquarters: Sweden

URL: http://career.proxify.io

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.

To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-engineer-azure-3

Iziqu ezidingekayo

Azure, Data Engineering, and Data Warehousing

Iminingwane yomsebenzi

Ulwazi: 0 iminyaka

Ishicilelwe: 3 hours, 6 minutes ngaphambili

Izinkomba: 15

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