Who you are

• Proven experience managing engineering teams - ideally in data platform, and/or software 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
• Strong leadership and mentorship skills, using your experience to guide, influence, and provide constructive feedback to direct reports—ensuring their growth and enabling the team to exceed its goals
• 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
• Sound understanding of lambda and/or kappa architecture, batch and streaming principles and experience implementing either of the two architectures in a production environment
• 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

What the job involves

• 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
• 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
• 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
• 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

Benefits

• Health, dental, vision, and paramedical for both mind and body, life and travel insurance, and an employee assistance program.
• Health spending and wellness accounts to help with expenses not covered by traditional benefits.
• Equity and RRSP matching of up to 3% of your annual salary.
• Your birthday off!
• Parental leave—complete with top-ups for up to 8 weeks.
• Monthly snack box program with plenty of options for that afternoon pick-me-up.
• Bi-weekly all company stand-ups, quarterly hackathons and town halls, and yearly all-hands professional development sessions.
• Continuous 1:1’s and honest feedback.
• A team of humble and supportive group of Jobberinos who give a sh*t about the work they’re doing.
• Opportunity to have a 1:1 session with one of our Development Coaches, take advantage of our in-house suite of learning opportunities, and build out your personal development plans.
• Hybrid work model.
• Work in either our Edmonton or Toronto office, remotely from anywhere in Canada or the US, or a combination of both.
• Monthly home office allowance and a one-time stipend to help equip your home office.