Senior Data Engineer (Azure)

Proxify AB; United States; Remote; USD 140,000 - 180,000; Full time

Benefits offered by this job

Get paid on time

Monthly payments

Predictable hours

Work-life balance

Flex days

24 flex days/year

Fixed monthly pay

Job summary

Proxify AB seeks a Senior Data Engineer with deep Azure expertise to build end-to-end data pipelines and warehouses. You will design data models and DAX measures to enable robust BI reporting for diverse stakeholders, collaborating across teams to translate requirements into scalable Azure solutions.

Ideal candidates have 5+ years in data engineering, strong SQL, governance, and experience with Power BI, Python, and CI/CD practices. Hybrid- remote options may be considered.

Qualifications

• 5+ years in Data Engineering roles.
• Advanced SQL knowledge with performance tuning.
• Strong Azure data services experience (SQL Database, Data Factory).
• ETL development, data integration, and pipeline orchestration.
• Data modeling and data warehouse architectures.
• Data governance, data quality, and data security best practices.
• Nice-to-have: Azure Synapse, Data Lake, Azure DevOps.
• Power BI development expertise (Power Query, DAX, Service).
• Python or other scripting languages for data processing.
• Git or other version control for CI/CD.

Responsibilities

• Design and develop end-to-end data pipelines using Azure Data Factory and SQL.
• Implement data models and DAX measures to support reporting.
• Manage and optimize ETL workflows with focus on quality and performance.
• Design and maintain data warehouses and dimensional models (star/snowflake).
• Collaborate with analysts and stakeholders to translate business needs.
• Integrate data from SQL, cloud storage, APIs and flat files.
• Ensure governance, accuracy, and integrity across BI ecosystem.

Skills

5+ years in Data Engineering

Advanced SQL

Data modeling

ETL development

Azure data services

Data governance

Data quality

Data security

Python scripting

Git / CI/CD

Power BI development

Tools

Azure Data Factory

Azure Synapse Analytics

Power BI

SQL Server

Python

Git

Job description

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
• 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.
• Compensation Enjoy the same pay, every month with positions landed through Proxify.