Do you want to be part of a team helping to strengthen every community across Ontario? Are you interested in seeing the importance of your work firsthand? Do you have a passion for big data and cloud computing - and know the benefit of using data to improve business practices?
Become a Lead Data Engineer with MPACOur Information Technology team works closely with each department across the business to design, build and deliver innovative solutions that help make MPAC an international leader in the property assessment industry. The way we think about technology is different, and our teams are proud to share their knowledge and contribute to meaningful, technology-enabled success stories that enhance operational intelligence and customer service delivery. We tackle complex problems collaboratively in an agile environment, and are committed to ensuring MPAC technology is consistently available, scalable, performance-based and secure. We're a group of forward-thinking and talented professionals who stay ahead of the game by using open source technology, cutting-edge cloud computing, advanced analytics and predictive and machine learning models.
Job DescriptionWhat makes you great for this role?You are a data engineering leader with a passion for building scalable, reliable, and innovative enterprise data solutions. You bring deep expertise in modern data engineering, cloud platforms, and data architecture, along with the ability to provide technical direction, solve complex challenges, and build strong relationships across technical and business team
We have:- A team of highly skilled, dedicated and collaborative staff to work with
- Leadership that supports you
- An enterprise that embraces change
- A work environment that has flexible work locations (including hybrid), hours of work and overall employee wellness support
You have: - Completion of a university degree or college diploma in Computer Science, Data Engineering, Software Engineering, Information Systems or a related discipline, or an equivalent combination of education, training and experience
- Seven (7) years of progressively responsible experience in enterprise data engineering, software engineering or enterprise data platform development, including experience leading complex technical initiatives and providing technical leadership within multidisciplinary teams
- Advanced knowledge of enterprise data engineering principles including data modelling, cloud data platforms and DataOps practices
- Demonstrated ability to establish engineering standards, mentor technical teams and influence enterprise engineering practices
- Experience designing and developing scalable data pipelines, integration frameworks and cloud-native data solutions supporting operational reporting, analytics and AI initiatives
- Strong knowledge of relational and non-relational databases, data architecture, data quality management, metadata, data governance and enterprise integration patterns
- Experience with source control, CI/CD pipelines, DevOps/DataOps and agile delivery methodologies, including GitLab CI/CD pipelines
- Hands-on experience with enterprise cloud data engineering technologies and programming languages such as SQL, Python, Java, Groovy, Spring Boot, Spark, Microsoft Fabric, Databricks, Azure Data Factory, Snowflake, PostGres, AWS data services or comparable enterprise data platforms, including PostgreSQL, Redshift, AWS SQS, AWS S3, RabbitMQ, Kubernetes and Rancher
- Experience using enterprise development and collaboration tools such as Git, Bitbucket, Jira and Confluence
- Knowledge of enterprise architecture principles, cloud computing, information security and privacy, and best practices
- Excellent interpersonal, coaching, relationship management, oral and written communication skills
Nice to have: - Knowledge of data engineering practices supporting advanced analytics, artificial intelligence and machine learning initiatives
What you will do: - Provide technical leadership for enterprise data engineering initiatives and resolve complex engineering challenges
- Lead the design, development and optimization of scalable data platforms, pipelines, integration frameworks and migration solutions
- Establish engineering standards, reusable frameworks, automation and DataOps/DevOps practices
- Design and develop Online Transaction Processing (OLTP) systems that support scalable, reliable and high-performance operational workloads
- Implement data quality, governance, security, metadata, lineage, monitoring and observability practices
- Collaborate with technology teams and business stakeholders to define solutions, manage technical risks and deliver enterprise data capabilities
Additional Information:- Requisition ID: 3137
- Existing Vacancy: Yes
- Job Type: Union
- Closing Date: August 27, 2026
Ready to apply?Please note, only applications submitted through the Applicant Tracking System will be accepted.
