We are expanding our Supply Chain Analytics team and looking for a skilled Data Engineer to develop and maintain data ingestion, processing, and delivery pipelines using Microsoft Azure services.

The role focuses on supporting data-driven decision-making through efficient and reliable data infrastructure.

Data Engineer with Azure

Your responsibilities

• Design, build, and optimize ELT/ETL pipelines to support statistical modeling and business intelligence
• Monitor and ensure data quality and integrity
• Configure and maintain data storage systems such as data lakes and SQL databases
• Manage production connections across the data infrastructure components
• Write secure, scalable, and maintainable code that translates business needs into technical solutions
• Promote engineering best practices, including automation, CI/CD, and code maintainability
• Collaborate closely with BI analysts, data scientists, machine learning engineers, and core IT teams

Our requirements

• Minimum 2–3 years of hands-on experience in data engineering roles
• Strong proficiency in Python, SQL, and Azure data services (Azure Data Factory, Blob Storage, Key Vault, Logic Apps, Azure SQL Database, Synapse)
• Experience with data workflow orchestration, particularly using Azure Data Factory
• Solid understanding of version control systems and CI/CD pipelines, preferably Azure DevOps or GitHub
• Familiarity with data governance concepts such as metadata management, data lineage, master data, and compliance
• Business-level English communication skills (B2 or higher)
• Experience with Snowflake platform
• Knowledge of Databricks and Azure Machine Learning
• Relevant Azure certifications in Data Engineering or Data Analytics
• Exposure to SAP Business Warehouse as a data source
• Understanding of BI tools such as Power BI
• Experience with PySpark or Scala

What we offer

• Long-term engagement
• Equipment provided by the client
• B2B contract
• Remote work