remoteonsite
Azure Data Engineer - Atlas Copco Group
Data Engineer
Individual contributor responsible for designing, building, and operating scalable data pipelines and solutions on Azure, ensuring data is well‑structured, accessible, and ready for analytics across the organization.
About the role
Key Responsibilities
- Design, develop, and deploy scalable data solutions on Azure using services such as Azure Data Factory and Azure Synapse Analytics.
- Build and maintain robust ETL pipelines that ingest, transform, and load data from diverse source systems into the Azure data platform.
- Collaborate with product and platform teams to understand data requirements and translate them into efficient data models and storage strategies.
- Implement data quality, monitoring, and performance‑tuning practices to ensure reliable and high‑performance data flows.
- Provide technical guidance and documentation for data engineering best practices within the team.
Requirements
- Strong experience with Azure data services, especially Azure Data Factory and Azure Synapse Analytics.
- Proficiency in SQL for data manipulation, modeling, and performance optimization.
- Hands‑on programming skills in Python for data processing and automation.
- Demonstrated ability to design and maintain end‑to‑end ETL pipelines in a cloud environment.
- Excellent problem‑solving skills and the ability to work cross‑functionally with multiple stakeholders.