Staff Data Engineer in Clean Energy

Become a key player as a Staff Data Engineer in a leading Canadian energy firm, specializing in data modeling and pipeline optimization with Azure and Databricks. Engage in vital operations that support the future of clean energy. You will design and implement scalable data solutions, focusing on performance and maintainability. Collaborating with engineers and analysts, you will develop data models that accurately inform business strategies. Your contributions are essential to promoting operational excellence in energy. Key Responsibilities: • Oversee design and implementation of ETL pipelines • Create curated data models for enterprise analytics • Collaborate on data protection strategies • Optimize performance across various data sources • Lead innovation in data practices through technology research Requirements: • Bachelor's degree in computer science or related field • 6–8 years in data engineering and modeling • Strong expertise in Azure and Databricks • Proven ability to manage data ingestion projects • Strong leadership and team collaboration skills Embrace an impactful role in data engineering and contribute to a sustainable energy future.