Job Title: Senior Data Engineer

Location: Remote (Edmonton, AB)

Employment Type: Contract About the Role

We are seeking a skilled Senior Data Engineer to support a public-sector client in delivering modern, cloud-based data solutions. In this role, you'll work within Agile, cross-functional product teams to design, develop, and optimize scalable data platforms, ETL/ELT pipelines, analytics solutions, and self-service reporting capabilities that enable data-driven decision-making across government. Key Responsibilities

Design, build, and maintain scalable data pipelines across cloud and hybrid environments.

Develop ETL/ELT workflows using Azure Data Factory, Microsoft Fabric, Databricks, SSIS, and notebooks.

Build and optimize dimensional data models, including star and snowflake schemas.

Integrate data from relational databases, APIs, NoSQL platforms, and file-based sources.

Develop curated data marts, fact tables, and semantic models to support analytics.

Automate deployments using CI/CD pipelines and DevOps best practices.

Support enterprise data governance, security, and access management.

Develop Power BI dashboards, reports, and business intelligence solutions using DAX.

Perform data analysis using Python, SQL, and statistical techniques to identify trends and insights.

Collaborate with business stakeholders to translate requirements into scalable data solutions.

Apply AI-enabled techniques to improve data integration, quality, and engineering productivity.

Mandatory

Skills & Qualifications

Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Statistics, Data Science, or a related field.

15+ Experience as a Data Engineer and/or Data Analyst.

Experience with Python (including PySpark) and SQL.

Experience designing and implementing ETL/ELT pipelines.

Experience with Business Intelligence, KPI reporting, and executive dashboards.





Experience with cloud or hybrid data platform implementations.

Enterprise Data Warehouse or Lakehouse design using Star/Snowflake schemas.

Experience with Azure, Databricks, Microsoft Fabric, AWS, or GCP.

Experience using AI-assisted development tools to improve productivity.

Strong communication and stakeholder collaboration skills.

Preferred

Skills

Microsoft Fabric

Azure Data Factory

Azure Databricks

Delta Lake

Azure Synapse Analytics

Azure SQL

Power BI

DAX

PySpark

R

SSIS

Azure DevOps

CI/CD

Data Lakes

Data Warehousing

Data Modeling

ETL / ELT

Machine Learning

Git

Agile/Scrum

Public Sector experience Why Join Us

Work on high-impact digital transformation initiatives for a public-sector client.

Build modern cloud-native data and analytics solutions.

Collaborate with multidisciplinary Agile teams using modern technologies.

Opportunity to work with AI-enabled data engineering practices.

About

NetworkPedia

NetworkPedia is a certified women-owned technology and talent solutions company, providing IT infrastructure, cybersecurity, managed services, and specialized recruitment across North Americas and beyond. Our mission is to empower organizations with secure, scalable, and creative technology while building inclusive teams that reflect the communities we serve. As a trusted partner, we deliver expertise across networking, cloud, IT service management, and security operations, along with staffing solutions for niche technology roles.

We are committed to diversity, equity, and inclusion (DEI) in all our hiring practices and ensure that our opportunities are open to all qualified applicants, without discrimination on the basis of age, gender, race, ethnicity, religion, sexual orientation, or disability. How to Apply

Apply directly via LinkedIn Easy Apply.

All applications are routed to our recruitment team at [email protected]

📌 Senior Data Engineer (Canada)
🏢 NetworkPedia
📍 Canada