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Proxify AB: Senior Data Engineer (Azure)

Flexible location
Company: Proxify
Published Dec 15, 2025

Role highlights

Contract type

Full Time

Schedule

Permanent

Experience

Senior

Work style

Remote

Key skills

This Senior Data Engineer role requires over five years of experience specializing in Microsoft Azure technologies, with a strong focus on designing and developing end-to-end data pipelines using Azure Data Factory, Azure SQL Database, and related Azure services. The candidate must possess advanced SQL skills, including writing complex queries, performance tuning, and stored procedure development. Expertise in ETL development, data integration, and pipeline orchestration is essential, along with a deep understanding of data modeling principles and data warehouse architectures such as star and snowflake schemas. The role involves managing and optimizing ETL workflows to ensure data quality, consistency, and high performance, as well as designing and maintaining data warehouses and dimensional models. Collaboration skills are important to translate business requirements into technical solutions, integrating data from diverse sources including SQL databases, cloud storage, APIs, and flat files. Knowledge of data governance, data quality management, and data security best practices is required to maintain data accuracy and integrity across the BI ecosystem. Additional desirable skills include familiarity with Azure Synapse Analytics, Azure Data Lake, Azure DevOps, and expertise in Power BI development (Power Query, DAX, Power BI Service). Experience with Python or other scripting languages for data processing, as well as version control systems like Git for collaboration and CI/CD, is advantageous. Microsoft certifications related to Power BI, Azure Data Engineering, or SQL Server are a plus. The position targets professionals within the CET timezone and offers a stable, growth-oriented working environment with consistent hours and flexible benefits.

#Cloud Data Engineer #Senior Data Engineer #ETL Developer #Data Pipeline Engineer #BI Developer #Power BI Developer #Data Integration Specialist #Data Warehouse Engineer #Azure Data Engineer #SQL Data Engineer

About the role

Role Summary

  • Join a fast-growing network as a Senior Data Engineer with deep expertise in Microsoft Azure
  • Ideal for growth-oriented professionals passionate about developing new products

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

Requirements

  • 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 other time zones not 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)

Benefits

  • On-time monthly payments with flexible withdrawal options
  • Predictable project hours: consistent 8-hour working days
  • Up to 24 flex days off per year (for full-time positions)
  • Career-accelerating positions at cutting-edge companies
  • Hand-picked, personally matched opportunities
  • One seamless contracting process for multiple opportunities
  • Consistent monthly pay for positions landed through Proxify

How to Apply

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