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.

Robust 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.

Strong 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 (Edmonton)
🏢 S.i. Systems
📍 Edmonton