Senior Data Engineer - Azure

Azure Data Engineer

Responsibilities

• Design, build, and manage scalable data pipelines using Azure Data Factory (ADF)
• Develop and optimize data transformations using Azure Synapse Analytics or Microsoft Fabric
• Write efficient and reusable code in Python or PySpark for data wrangling and processing
• Create, maintain, and optimize complex SQL queries and stored procedures
• Collaborate with data scientists, analysts, and business stakeholders to understand data needs
• Ensure data accuracy, consistency, and security across pipelines and storage layers
• Monitor pipeline performance and troubleshoot data issues in production environments
• Participate in architectural discussions and propose scalable, secure data solutions on Azure

Requirements

• Bachelor's degree in Computer Science, Information Technology, or a related field
• 3-7 years of experience in data engineering or related roles
• Strong experience with Azure Data Factory (ADF) for ETL/ELT workflows
• Proficiency in Azure Synapse Analytics and/or Microsoft Fabric
• Solid coding skills in Python or PySpark for data processing and automation
• Advanced knowledge of SQL – including writing, optimizing, and troubleshooting queries
• Experience with data modeling, data lakes, and data warehouse concepts
• Good communication skills and the ability to work in a collaborative, agile team environment
• Ability to communicate effectively in both written and spoken English (B2 level and higher)

Nice to have

• Azure certifications (e.g., Azure Data Engineer Associate or Azure Fundamentals)
• Familiarity with DevOps practices and CI/CD pipelines in data projects
• Experience with Azure DevOps, Git, or other version control tools
• Understanding of data governance, security, and compliance within Azure