Senior Data Engineer in Power & Utilities
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Summary
A senior data engineer role with a power and utilities client, designing scalable data pipelines, lakehouse architectures, and ETL workflows using Databricks and Azure Data Factory. Hybrid work based in Calgary or Edmonton, collaborating with data architects, scientists, and analysts on governance and analytics products.
Join a leading power and utilities client as a Senior Data Engineer, specializing in data pipelines and analytics architecture. Embrace a hybrid work model tailored for Calgary or Edmonton candidates.
In this role, you will bring over 10 years of experience in Data Engineering. You will focus on the design and optimization of data lakehouse architectures and ETL workflows. Your collaboration with Data Architects, Data Scientists, and Analysts will be essential to ensure data accuracy and governance while delivering accessible analytical products.
Key Responsibilities: • Design scalable data management pipelines • Integrate diverse data sources for analysis • Optimize processes for performance and cost • Document data systems and maintain infrastructure • Collaborate to resolve technical challenges
Requirements: • Over 10 years as a Data Engineer • Expertise in cloud-based data solutions • Proven skills in Data Bricks and Azure Data Factory • Understanding of governance and quality standards • Effective communication within technical teams
Drive innovation in data engineering while focusing on performance and compliance with this senior-level opportunity.
In this role, you will bring over 10 years of experience in Data Engineering. You will focus on the design and optimization of data lakehouse architectures and ETL workflows. Your collaboration with Data Architects, Data Scientists, and Analysts will be essential to ensure data accuracy and governance while delivering accessible analytical products.
Key Responsibilities: • Design scalable data management pipelines • Integrate diverse data sources for analysis • Optimize processes for performance and cost • Document data systems and maintain infrastructure • Collaborate to resolve technical challenges
Requirements: • Over 10 years as a Data Engineer • Expertise in cloud-based data solutions • Proven skills in Data Bricks and Azure Data Factory • Understanding of governance and quality standards • Effective communication within technical teams
Drive innovation in data engineering while focusing on performance and compliance with this senior-level opportunity.