YOUR NEXT OPPORTUNITY
Proxify AB: Senior Data Engineer (Azure)
Employer posted: September 15, 2026. Source checked: October 7, 2026 1:04 am. Availability and final application requirements are confirmed on the employer’s site.
Source: We Work Remotely — Other remote jobs. WorkerEra lists this opportunity from an external source; confirm current details with the employer.
About this opportunity
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:
Predictable project hours
To apply: https://weworkremotely.com/remote-jobs/proxify-ab-senior-data-engineer-azure-3
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- Read the linked employer announcement and compare its requirements with your experience.
- Tailor your CV to responsibilities and skills actually listed by the employer.
- Confirm the work location, deadline and application documents before submitting.
- Salary was not supplied in the listing fields; ask the employer about compensation.
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