Azure Data Engineer

Your Role

Main Responsibilities

• Develop, and deploy scalable data solutions on the cloud platform.
• Build and maintain data pipelines to extract, transform, and load (ETL) data from various sources into Azure Data Platform Services, and other data repositories.
• Collaborate with cross-functional teams to understand data requirements and translate them into data pipelines and implement technical solutions.
• Understanding of data models that represent the organization’s data requirements and its relationships, including conceptual, logical, and physical data models.
• Defines and maintains clear documentation for data pipelines to serve as references for Data Owners, Data Stewards, and technical support teams; supports the Data Architect to maintain broader data architecture assets as required.
• Applies normalization techniques to eliminate data redundancy, ensure consistency, and improve data integrity.
• Ensures compliance with data governance and data management processes when building data models (e.g., data privacy and security considerations).
• Assesses and takes action to address data performance issues related to data models and database designs.
• Continuously optimize data pipelines for performance, ensuring models support efficient data retrieval and manipulation.
  

To Succeed You Will Need

Must Have skills:

• 3 to 5 years of relevant experience in Azure data engineering roles.
• Extensive experience delivering data solutions using Azure Data Services
• Experience of Extract, Transform and Load technologies and techniques.
• Hands-On with Python
• Must be able to collaborate with colleagues with and without technical expertise.
• Must possess excellent written and verbal communication skills A Self-starter – able to pro-actively seek out answers and take responsibility to deliver results
• Advanced skills in SQL and proficiency in programming languages such as Python & PySpark with clear experience in data warehouse design concepts.
• Hands-on experience with Azure data services such as Azure Data Lake Storage, Azure Synapse Analytics, Azure Data Factory, Azure Databricks, and Azure SQL Database.
• Demonstrable experience working with data warehouse, data lake, and big data platform technologies (e.g., SAP BW, Snowflake, Azure Data Platform, ETL technologies).
  

Nice To Have Skills

• LogicApps, Funcation App, Stream Analytics, Purview
• Experience building algorithm and training models for Machine Learning projects
• Terraform & ARM Templates
• Azure DevOps
• Azure Monitoring and Alerting
  

In Return, We Offer You

• Plenty of opportunities to grow and develop.
• A culture known for respectful interaction, ethical behavior and integrity.
• Potential to see your ideas realized and to make an impact.
• New challenges and new things to learn every day.
• Access to global job opportunities, as part of the Atlas Copco Group.
• An excellent remuneration package
• Support for maintaining a healthy work-life balance, including vacation, personal, and sick time.
  

Uniting curious minds