Manager, Data Engineering

Do you get excited to work with data & lead impactful teams? Then Jobber might be the place for you! 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 professional 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. That’s why we put the power and flexibility in their hands to run their businesses how, where, and when they want! Our culture of transparency, inclusivity, collaboration, and innovation has been recognized by Great Place to Work, Canada’s Most Admired Corporate Cultures, and more. Jobber has also been named on the Globe and Mail’s Canada’s Top Growing Companies list, and Deloitte Canada’s Technology Fast 50™, Enterprise Fast 15, and Technology Fast 500™ lists. 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 [... source excerpt omitted ...] a 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. The role: 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 mana [... source excerpt omitted ...] o 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. To be successful, you should have: 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, orches