CLIENT SUPPORT COORDINATOR, VIRTUAL BUSINESS CENTRE - Across Canada

bdc; Edmonton; Remote; CAD 90,000 - 120,000; Full time

Benefits offered by this job

Public sector impact

Agile teams

Cloud tech exposure

Contract extensions

Job summary

Randstad Canada is seeking a skilled Data Engineer for a 12‑month contract in Edmonton to design, build, and optimize enterprise data pipelines, lakehouses, and analytics platforms powering public services.

You will collaborate with cross‑functional teams in an agile environment, work with modern cloud tools such as Azure, Databricks, Microsoft Fabric, AWS and GCP, and develop BI analytics and dashboards to drive data‑driven decisions for citizens.

Qualifications

• Bachelor degree in Computer Science, Information Technology, Engineering, Statistics, or a related field.
• Minimum five years of professional experience as a Data Engineer or Data Analyst.
• Minimum five years of hands‑on experience using Python, PySpark, and SQL to build and optimize enterprise ETL and ELT workflows.
• Minimum four years of experience designing enterprise data warehouses or lakehouses using star and snowflake schemas alongside BI executive reporting.
• Demonstrated experience with cloud or hybrid data platforms, data migration techniques, and modern tools such as Databricks or Microsoft Fabric.

Responsibilities

• Design, build, and maintain scalable data pipelines across on-premises and cloud platforms.
• Develop and maintain dimensional data models including star and snowflake schemas to optimize query performance.
• Integrate data from relational databases, NoSQL platforms, APIs, and flat files while applying automated data quality validation.
• Develop and operate ETL and ELT workflows using Azure Data Factory, SSIS, Dataflows, and Notebooks with complete error handling and monitoring.
• Automate data pipeline deployments using modern CI/CD practices, automated testing, and release management.
• Build interactive Power BI dashboards using DAX to track key performance indicators and report critical metrics.
• Analyze datasets using Python, R, and statistical methods to extract actionable insights and construct predictive data models.

Skills

Python

PySpark

SQL

Data modeling

BI reporting

Cloud data platforms

Education

Bachelor degree in Computer Science, Information Technology, Engineering, Statistics, or a related field

Tools

Azure Data Factory

SSIS

Databricks

Microsoft Fabric

Power BI

Job description

Are you ready to make a tangible impact on public services through modern data engineering? Our Edmonton client is seeking a skilled Data Engineer for an initial 12-month contract with possibility for extensions. In this role, you will collaborate within multidisciplinary teams to design, build, and optimize enterprise data pipelines, lakehouses, and analytics platforms that power efficient services for citizens.

Note: although this position is remote, the candidate is required to be situated within Alberta while performing work. Only candidates identified within Alberta will be contacted if short-listed.

Advantages

• Work on large-scale digital transformation initiatives that improve public services across the region.
• Gain hands‑on experience with modern cloud tools like Azure, Databricks, Microsoft Fabric, AWS, and GCP.
• Enjoy a predictable 12-month contract length with strong opportunities for term extensions.
• Collaborate within modern multidisciplinary product teams using agile delivery methods.
• Build skills across both enterprise data pipeline engineering and advanced business intelligence analytics.

Responsibilities

• Design, build, and maintain scalable data pipelines across on‑premises and cloud platforms to ingest, transform, and store enterprise datasets.
• Develop and maintain dimensional data models including star and snowflake schemas to optimize query performance and usability.
• Integrate data from relational databases, NoSQL platforms, APIs, and flat files while applying automated data quality validation.
• Develop and operate ETL and ELT workflows using Azure Data Factory, SSIS, Dataflows, and Notebooks with complete error handling and monitoring.
• Automate data pipeline deployments using modern CI/CD practices, automated testing, and release management.
• Build interactive Power BI dashboards using DAX to track key performance indicators and report critical metrics.
• Analyze datasets using Python, R, and statistical methods to extract actionable insights and construct predictive data models.

Qualifications

• Bachelor degree in Computer Science, Information Technology, Engineering, Statistics, or a related field.
• Minimum five years of professional experience as a Data Engineer or Data Analyst.
• Minimum five years of hands‑on experience using Python, PySpark, and SQL to build and optimize enterprise ETL and ELT workflows.
• Minimum four years of experience designing enterprise data warehouses or lakehouses using star and snowflake schemas alongside BI executive reporting.
• Demonstrated experience with cloud or hybrid data platforms, data migration techniques, and modern tools such as Databricks or Microsoft Fabric.

Summary

If you are an experienced Data Engineer ready to bring your skills to high-impact public sector projects, we want to hear from you.

We look forward to supporting you in your job search! Good luck!

Randstad Canada is committed to fostering a workforce reflective of all peoples of Canada. As a result, we are committed to developing and implementing strategies to increase the equity, diversity and inclusion within the workplace by examining our internal policies, practices, and systems throughout the entire lifecycle of our workforce, including its recruitment, retention and advancement for all employees. In addition to our deep commitment to respecting human rights, we are dedicated to positive actions to affect change to ensure everyone has full participation in the workforce free from any barriers, systemic or otherwise, especially equity-seeking groups who are usually underrepresented in Canada's workforce, including those who identify as women or non-binary/gender non-conforming; Indigenous or Aboriginal Peoples; persons with disabilities (visible or invisible) and members of visible minorities, racialized groups and the LGBTQ2+ community.

Randstad Canada is committed to creating and maintaining an inclusive and accessible workplace for all its candidates and employees by supporting their accessibility and accommodation needs throughout the employment lifecycle. We ask that all job applications please identify any accommodation requirements by sending an email to [e-mail] to ensure their ability to fully participate in the interview process.