Competition Number: 2025-012

Division: Data & Digital

Location: 200 Front Street W, Toronto Ontario

Job Term: Permanent Full Time

Hours of Work: 36.25 Hours per week

Bargaining Unit: OPSEU/SEFPO

Job Code: 17164 - Systems Officer 7

Salary Range: 2,016.31 - $2,6252.00/week Indicates the salary listed as per the OPSEU Collective Agreement

Posting Status: Open

Posting Date: June 2, 2025

As the Senior Data Engineering Specialist, you will be accountable for leading and providing data engineering expertise to analytics and modeling through the creation and maintenance of data pipelines, the design and development of data solutions, and performing data management and optimization to support Supply Ontario's current and future business needs.

Other key responsibilities include:

• Conducting work on the full life cycle of data engineering including analysis, solution design, data pipeline engineering, testing, deployment, scheduling, and production support.
• Identifying and solving significant technical problems and architecture deficiencies to include design, security, and performance.
• Developing comprehensive audits and validation frameworks to ensure data quality, integrity, and consistency across data pipelines and storage systems.
• Collaborating with the data science team to design, build, and scale high-value datasets that enable analytics, modeling, and experimentation.
• Providing project and technical leadership through all phases of complex data engineering projects.
• Contributing data engineering expertise to the development of data quality frameworks and data development tools and standards.

Successful candidates will demonstrate the following:

• Minimum 5+ years of relevant experience in data engineering or related roles.

Technical Knowledge

• In-depth knowledge of data structures and algorithms, operating systems, architectures, building and operating data pipelines, and data wrangling procedures using Python/Scala/R/Java/SQL, and life cycle and processes for data engineering.
• Knowledge of cloud-based infrastructures, infrastructure automation tools and processes, and data engineering practices.
• Knowledge of build processes supporting data transformation, data structures, metadata, dependency, and workload management.
• Experience working with Databricks & PySpark for distributed, scalable data engineering and collaborative data science workflows.
• Strong understanding of data modeling techniques to design and implement efficient, scalable, and maintainable data schemas.
• Expertise in data management best practices including data governance, data quality, lineage, and metadata management.
• Strong analytic skills to work with unstructured datasets and to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
• Familiar with Agile Methodologies, ideally having worked in an Agile team setting, with experience using DevOps practices and tools such as Jira for project tracking and collaboration.
• Experience with CI/CD pipelines and automation using ARM templates for infrastructure provisioning and deployment, including version control using Git.
• Strong programming ability following industry standards & processes.
• Proficient with Microsoft Office (Word, Excel, PowerPoint, SharePoint, Teams).

Data Management and Problem-Solving

• Ability to think and work creatively to develop innovative data solutions in a collaborative multi-disciplined team environment.
• Ability to manipulate, process, and extract value from large, disconnected datasets.
• Strong troubleshooting and problem-solving skills.

Project Management

• Proven experience managing projects using Agile methodologies (Scrum/Kanban) to ensure timely and successful delivery.
• Ability to manage work to meet deadlines and manage multiple competing priorities effectively.

Interpersonal and Communication Skills

• Excellent interpersonal and organizational skills.
• Excellent written and verbal communication skills to develop technical documentation and explain technical and complex details to non-technical staff.

Supply Ontario offers a competitive compensation package including benefits and defined benefit pension plan.

The selected candidate will be required to reside and work in Ontario and be legally eligible to work in Canada.

Candidates are required to provide references for verification, and to complete a criminal background check. Details will be provided through the application process.

This job offers the opportunity to work from home as part of a hybrid work arrangement; at the time of posting, this position would require in-office presence 3 days per week, based on current operational requirements.

Please apply by June 16, 2025.

We thank all applicants for their interest, however, only those selected for further consideration will be contacted.

Supply Ontario endeavors to promote the principles of diversity and inclusion in all of our policies, practices, and the way we do business while ensuring compliance to the Canadian Human Rights Act and the Ontario Human Rights Code.

We are committed to building a team that reflects the communities we serve, and to promoting a diverse, inclusive, accessible, respectful, and equitable workplace.

We invite applications from all interested and qualified individuals, from all backgrounds, and walks of life. Your experiences are valuable, and we're excited to learn how you might be able to lend your skills to further Supply Ontario's mission and achieving its vision.

At Supply Ontario, we recognize and value the exceptional skills, dedication, and diverse perspectives that veterans bring to the workforce. We strongly encourage veterans to apply to join our team.

We are committed to providing employment practices and accommodation that are in compliance with the Accessibility for Ontarians with Disabilities Act and the Human Rights Code. If you require accommodation at any stage of the recruitment process including in relation to the materials and processes to be used, please notify Human Resources at Talent Acquisition (CSCO) .

If you request accommodation, Human Resources will consult with you to provide or arrange for suitable accommodation in a manner that takes into account your accommodation needs.