Do you get excited to work with data & lead impactful teams? We’re looking for a Manager, Data Engineering to be part of our Data org. Jobber exists to help people in small businesses be successful.

We work with small home service businesses, like your local plumbers, painters, and landscapers, to transform the way service is delivered through technology. With Jobber they can quote, schedule, invoice, and collect payments from their customers, while providing an easy and qualified customer experience. Running a small business today isn’t like it used to be—the way we consume and deliver service is changing rapidly, technology is evolving, and customers expect more.

Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. With an Executive team that has over thirty years of industry experience of leading the way, we’ve come a long way from our first customer in 2011—but we’ve just scratched the surface of what we want to accomplish for our customers. We help employees grow professionally; The Data Integration team’s mission is to empower teams across Jobber with the right data, at the right time, in the right place so they can deliver business value better and faster.

Key responsibilities of this team include data ingestion, data activation (egress), platform administration, self-serve tooling, plus data integrity and governance. Reporting to the Director of Data, the Manager, Data Engineering will lead a team of data engineers. You will also partner with the team’s Technical Program Manager to prioritize initiatives and collaborate on building quarterly roadmaps.

This role’s scope is large as it spans both Data and ML platforms. A key aspect of this role is managing the team’s performance, supporting individual growth, ensuring high-quality deliverables, and scaling the team as needed. You will also play a key role in shaping technical decisions, collaborating with technical leads, principals, and distinguished engineers.

The Manager, Data Engineering will: Live and breathe performance facilitation by helping your team master their craft while collaborating to build extraordinary experiences and systems. Own the strategy, roadmap,



and delivery of high-performance, scalable, and cost-efficient data infrastructure including data stores, compute engines, and orchestration systems. Ensure data systems are resilient, observable, and governed.

Implementing robust recovery strategies, proactive monitoring, and best practices for security, integrity, and compliance. Partner across engineering, analytics, and go‑to‑market teams to deliver well‑structured, high‑quality product data and build tools, automation, and solutions that accelerate workflows and create impactful outcomes for Jobber’s small business customers. Drive innovation and efficiency with the use of AI tools to support the data strategy.

Enable team to continuously explore, experiment and improve the state of Data tools with the help of AI. Proven experience managing engineering teams - ideally in data engineering domains- with a track record of delivering high-quality software and data solutions. A strong technical foundation in software and data engineering, including distributed data systems, orchestration frameworks, cloud infrastructure, performance tuning, scaling strategies, and cost optimization.

Hands‑on experience in systems design, SQL, modern data tools, and data best practices, including modeling, governance, and quality management.

Experience implementing observability frameworks, SLAs, disaster recovery strategies, and other practices to ensure resilient, reliable, and compliant data systems. The ability to lead and adapt in an agile environment, fostering a culture of continuous learning, critical thinking, and creative problem‑solving. Excellent collaboration and communication skills, with the ability to work cross‑functionally with engineering, product, analytics, and data science teams while mentoring and coaching direct reports.

Strategic thinking and roadmap planning capabilities,



with experience shaping infrastructure initiatives that have measurable impact. Hands‑on experience with modern data stack tools such as Redshift, Trino, dbt, Airflow, Kafka, and familiarity with data processing frameworks such as Spark and Ray.

Background in building internal developer platforms, self‑service data tooling, or workflow automation for data teams.

Experience in working with Engineering teams to influence upstream data design and instrumentation. Exposure to data science and machine learning workflows and their infrastructure requirements. This role has a minimum annual salary of $169,200 CAD, a midpoint of $199,100 CAD and a maximum salary of $228,900 CAD , designed to reflect the progression from learning the ropes to truly excelling.

We design our compensation to reflect each new hire's skills, experience, and the complexity of the role, ensuring a fair and competitive salary. Our range is intentionally broad to support growth and long‑term impact, with fully established hires typically starting around the midpoint. Base salary is just one part of a total compensation package that will include equity rewards, annual stipends for health and wellness, retirement savings matching, and an extended health package with fully paid premiums for body and mind.

A dedicated Talent Development team and access to coaching, learning, and leadership programs to help you grow your career, reach your goals, and unlock your full potential. To work with a group of people who are humble, supportive, and give a sh*t about our customers. We are an equal opportunity employer, and we are committed to working with applicants requesting accommodation at any stage of the hiring process.

Job by job, we’re transforming the way service is delivered. Your lawn care provider, home cleaning service, plumber or painter could use Jobber to better connect with their customers, save time in the office, invoice faster, and get paid! We’re bringing tens of thousands of people together with technology to deliver billions of dollars a year in services to happy customers.

Jobber exists to help make these small businesses successful, and when they’re successful we all win! #

📌 Principal Data Engineering - Telecommute (Mississauga)
🏢 Jobber
📍 Mississauga