Senior Data Engineer to design and optimize data pipelines including implementing Data Lakehouse architectures and optimizing ETL workflows Our power & utilities client is seeking a Senior Data Engineer to design and optimize data pipelines including implementing Data Lakehouse architectures and optimizing ETL workflows Calgary or Edmonton candidates preferred. Hybrid work model of in-office and WFH Must Haves - 10+ years as a Data Engineer with deep expertise in cloud-based data platforms and analytics enablement programs - Experience in Data Bricks, and Azure Data Factory building robust, scalable data pipelines - Experience implementing data lakehouse architectures and optimizing ETL workflows for performance and cost efficiency - Experience applying data governance and quality checks to ensure accuracy and compliance.

- Experience collaborating with Data Architects, Data Scientists, and Analysts to deliver secure, reliable, and accessible data for analytical products.

Strong

Nice to Have - ITIL service delivery framework and change management processes - Relevant certifications in data engineering or cloud platforms - Machine learning techniques and tools - Data governance principles and practices Responsibilities - Design and develop scalable data pipelines to process and manage large datasets - Integrate data from databases, APIs, and third-party systems - Design and implement data warehousing solutions for analytics and reporting - Optimize data processing systems for performance and cost efficiency - Implement data quality checks and governance practices - Maintain documentation for data infrastructure, processes, and systems - Collaborate with application, security, infrastructure, operational support,



and project teams to resolve technical issues Our power & utilities client is seeking a Senior Data Engineer to design and optimize data pipelines including implementing Data Lakehouse architectures and optimizing ETL workflows Calgary or Edmonton candidates preferred. Hybrid work model of in-office and WFH Must Haves - 10+ years as a Data Engineer with deep expertise in cloud-based data platforms and analytics enablement programs - Experience in Data Bricks, and Azure Data Factory building robust, scalable data pipelines - Experience implementing data lakehouse architectures and optimizing ETL workflows for performance and cost efficiency - Experience applying data governance and quality checks to ensure accuracy and compliance.

- Experience collaborating with Data Architects, Data Scientists, and Analysts to deliver secure, reliable, and accessible data for analytical products.

Robust

Nice to Have - Azure cloud platform experience - ITIL service delivery framework and change management processes - Relevant certifications in data engineering or cloud platforms Responsibilities - Design and develop scalable data pipelines to process and manage large datasets - Integrate data from databases, APIs, and third-party systems - Design and implement data warehousing solutions for analytics and reporting - Optimize data processing systems for performance and cost efficiency - Implement data quality checks and governance practices - Maintain documentation for data infrastructure, processes, and systems - Collaborate with application, security, infrastructure, operational support, and project teams to resolve technical issues Disclaimer:

AI may be used in evaluating candidates.

This posting is for an existing vacancy.

📌 Senior Data Engineer to design and optimize data pipelines including implementing Data Lakehouse architectures and optimizing ETL workflows (Calgary)
🏢 S.i. Systems
📍 Calgary