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Salary
≈ $52k – $136k per year (Estimated)
Location
Remote (Sweden, CET hours)
Seniority
Senior · 5+ years exp
Employment
Full-Time

First seen by Alion on Sep 15, 2026.

Overview
Company
Impact
Profile match
Proxify is a remote engineering talent marketplace headquartered in Stockholm, Sweden, and founded in 2017. The company screens software developers, designers, and data specialists through a multi-stage technical vetting process, then matches them to client teams on long term contracts. It draws its talent pool mainly from Europe, Latin America, and Asia and serves startups and scale-ups that hire remotely rather than opening local offices.

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.

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