Job Specifications
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. This is a 14 month contract position with the possibility of becoming a permanent position.
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 for our customers.
We help employees grow professionally; we have a ton of onboarding resources, tutorials, hackathons and buddies to support learnings and provide opportunities to innovate. We have a range of experience levels on teams which allows for mentor/mentee opportunities. Leaders at Jobber work with empathy and support employees to build healthy work-life harmony. Bring your dedication and passion to this job to fulfill your goals.
The Team:
The Data Platform team is responsible for building Jobber’s data infrastructure and systems, driving improved operational outcomes, enhancing workflow efficiencies, and generating critical business insights. We empower teams across the organization to fully leverage data, tools, and technology to achieve their goals. By researching, developing, and maintaining data systems, we provide essential operational and analytical support to ensure our internal teams are set up for success.
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. While this is a short-term role, the impact that the role has is immense as it spans the Data and the 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.
Be committed to your people’s success by setting goals, holding regular 1-on-1s, providing constructive feedback, and mentoring team members to grow their careers.
Develop and scale a world-class team by recruiting top talent, leveling up internal capabilities, and implementing processes that improve delivery and collaboration.
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.
Participate in On-Call Rotation
Members of the Data Platform team participate in a quarterly on-call rotation, covering one week at a time. When an incident occurs outside of regular working hours, we provide time off in lieu to support healthy balance and recovery. From time to time, major maintenance work may require team members to serve as primary or secondary on-call support over a weekend. The Manager role is required to be an incident responder when an incident occurs.
Jobber is committed to maintaining a fair, transparent, and humane on-call experience. Y