Senior Data Engineer

This range is provided by Bevertec. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Base pay range

CA$95.00 / hr - CA$105.00 / hr

Direct message the job poster from Bevertec

Location : Primarily Remote (Canada-based)

On-site Requirement : Occasional in-person sessions in Edmonton, AB with reasonable notice

Contract Duration : Approximately 12 months

Start Date : Late January 2026

End Date : Late January 2027

Number of Openings : 1

Work Schedule : Full-time

About the Opportunity

We are seeking an experienced Senior Data Engineer to support large‑scale digital transformation, service innovation, and analytics initiatives. This role will work within cross‑functional Agile teams to design, build, and maintain modern data platforms that enable high‑quality analytics, reporting, and decision‑making.

The ideal candidate combines strong data engineering expertise with analytical capabilities, and thrives in collaborative, fast‑paced environments focused on delivering scalable, secure, and user‑centered data solutions.

Key Responsibilities

• Design, build, and maintain reliable data pipelines on‑premises and in the cloud (Azure, AWS, GCP)
• Develop and optimize dimensional data models (star and snowflake schemas) for analytics and reporting
• Integrate data from SQL, NoSQL, APIs, and file‑based sources while ensuring accuracy, completeness, and consistency
• Build and maintain ETL / ELT workflows using SSIS and Azure Data Factory, including scheduling, logging, and error handling
• Improve pipeline performance, scalability, and reliability by removing bottlenecks and optimizing workflows
• Manage data lakes and data warehouses with appropriate governance, security controls, and encryption
• Automate testing, deployment, and monitoring using CI / CD pipelines and Infrastructure as Code
• Collaborate with engineers, analysts, and stakeholders to translate requirements into curated data marts and analytics‑ready datasets

Data Analytics

Required Qualifications (Must Have)

Education

Experience

Nice to Have

Work Arrangement & Facilities

Security & Compliance Requirements

Evaluation & Selection

Candidates will be evaluated based on :

Additional Information

Seniority level

Employment type

Job function

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