Senior Data Engineer Azure - Career Growth at Proxify in Columbus
Career & Market Insight
This is a senior-level contract role placed through Proxify, a Swedish tech talent network that matches engineers with long-term remote engagements. The setup is contractor-first — you're not a direct employee but gain access to curated, stable client projects.
Compensation context: No salary is listed, which is common for Proxify placements. Senior Azure Data Engineers typically command $90,000–$140,000 annually in Western European markets, or $110,000–$160,000+ in North American markets. As a contractor rate, this could translate to $60–$100/hour depending on client location and scope.
Skills this role builds:
- Azure Data Factory, Synapse Analytics, and Azure SQL — all high-demand, cloud-native skills with strong job market pull.
- Power BI and DAX — increasingly valued as companies push self-service analytics.
- Data governance and warehouse architecture — foundational for moving into Staff Engineer or Data Architect roles.
Green flags: Proxify's model offers predictable pay and pre-vetted clients, reducing the instability typical of freelancing. The 24 flex days and consistent hours signal genuine work-life balance respect.
Watch for: As a network placement, you won't build a direct relationship with an employer brand. Career progression depends on Proxify's pipeline quality. Ensure contract terms around IP ownership and exclusivity are clear before signing.
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) — applications from candidates in other time zones cannot be considered.
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: A harmonious work-life balance with consistent 8-hour working days with clients.
- Flex days to recharge: Up to 24 flex days off per year without losing pay, for full-time positions found through Proxify.
- Career-accelerating positions: Exclusive long-term remote positions at the world's most exciting companies.
- Hand-picked opportunities: 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.
- Consistent 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-4
Frequently Asked Questions
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