Data Engineer - Azure

Responsibilities

• Designing and implementing Data Pipelines, Data Storage and Data Processing solutions
• Managing Data Integration and Storage solutions
• Modelling data, handling ETL processes and Data Warehousing
• Developing and maintaining data architecture, ensuring scalability, security & availability
• Managing cloud-based data services, particularly Azure
• Implementing Data Governance

Requirements

• Proficiency in data modeling, ETL processes, and data warehousing
• Strong experience with data technologies (e.g., Spark, Azure Databricks, SQL & NoSQL databases)
• Deep understanding of data architecture, security principles and best practices
• Strong proficiency in scripting languages (e.g., Python) for data manipulation and analysis
• Extensive experience with cloud-based data services, particularly in Azure
• Expertise in data governance frameworks and implementation
• Great English skills, both written and spoken.

About the Product

At PowerCo we want to develop robust and sustainable data solutions on a data platform using Azure Databricks & Power BI integrated with various Azure services to manipulate and analyze data.