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.

Solid 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.

Solid 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.

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📌 Senior Data Engineer to design and optimize data pipelines including implementing Data Lakehouse arc (Winnipeg)
🏢 S.i. Systems
📍 Winnipeg