We are a Canadian leader in digital automotive solutions. Our flagship brands -AutoTrader.ca, AutoSync, Dealertrack Canada and CMS - help Canadians buy, sell, and finance vehicles with confidence.
AutoTrader.ca is Canada’s largest automotive marketplace, with over 25 million monthly visits.
As part of AutoScout24 group, Europe’s largest online car marketplace, we’re shaping the future of automotive retail in Canada and beyond.
As a Senior Analytics Engineer, you will be a senior technical contributor within the Analytics Engineering team and help shape the data foundations behind reporting, self-service analytics, and AI-driven decision-making. You will own complex technical workstreams, set direction for team-level analytical systems, and help improve the standards, practices, and architecture used across the team.
What youʼll do
- Own complex analytics engineering workstreams from problem framing through delivery and adoption
- Design and evolve scalable analytical models, semantic layers, and reusable data products
- Set technical direction for team-owned models and analytical systems
- Resolve ambiguity and align stakeholders around clear, pragmatic technical decisions
- Improve modeling standards, documentation, testing, review practices, and quality gates
- Drive consistency in KPIs, metrics, and analytical logic
- Partner with Data Platform, Product Analytics, Engineering, and Data Governance teams
- Improve the performance, reliability, and cost efficiency of AWS-based analytical workloads
- Contribute to AI-driven capabilities such as text-to-SQL, semantic modeling for AI, automated insights, and conversational analytics
- Guide complex refactoring, migrations, and technical debt reduction
- Review analytical solutions for correctness, maintainability, privacy, security, performance, and business fit
- Mentor analytics engineers and analysts through reviews, pairing, and technical guidance
- Turn recurring quality or delivery issues into reusable standards, automation, and documentation
- Connect technical decisions to product, operational, and business outcomes
You come with
- 7+ years of experience in Analytics Engineering, Data Engineering, or a related data role
- Deep experience designing, building, and scaling analytical models and reusable data products
- Advanced SQL skills and strong knowledge of dimensional and semantic modeling
- Strong experience with cloud-native analytical platforms, ideally AWS services such as Glue, Athena, S3, or MWAA
- Practical Python experience for data processing, automation, validation, or troubleshooting
- A strong track record of owning complex technical initiatives within a team or across closely related teams
- Experience setting technical direction, resolving ambiguity, and aligning stakeholders
- Strong understanding of data quality, testing, observability, documentation, and operational ownership
- Experience improving modeling standards, development workflows, review practices, or quality gates
- The ability to influence technical and business stakeholders through clear reasoning and communication
- Experience mentoring analytics engineers, analysts, or other data practitioners
- A good understanding of data privacy, security, governance, and compliance in analytical systems
- Experience with semantic layers, shared metric frameworks, or AI-driven analytics is a strong advantage
- A proactive, collaborative, and solution-driven mindset
What success looks like
- You act as a trusted senior technical contributor within the team
- You own complex workstreams and help the team navigate difficult technical decisions
- Core models and semantic assets become more scalable, reliable, and reusable
- Engineering quality improves through stronger standards, reviews, mentoring, and automation
- Stakeholders trust your technical judgment and involve you early in important decisions
- You improve not only individual data products, but also the systems and practices around them
The base salary range for this position is CAD 110K – CAD 150K.
This range reflects the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role the total rewards package may also include benefits, bonus, and other employee offerings.
What's in it for you:
We understand that there is life at work and life outside of work. Here are a few benefits we all benefit from that support us to be our creative best.
- Gym discounts
- Employee and Family Assistance program
- Virtual wellness events
- Conferences & training budget
- Regular internal training programs
- Financial planning with 3% matching Pension
- Competitive salary
- Annual bonus structure
For a career where you can drive our business and shape your future, apply now.
Compensation
Our ranges reflect the expected compensation at the time of posting. The final offer may vary and can be higher based on relevant skills, experience, location, and market conditions. Based on the role, the total rewards package may also include benefits, bonus, and other employee offerings.
Use of Artificial Intelligence in Hiring: We use artificial intelligence (“AI”) in our hiring process, including to screen, assess, or select applicants for this position.
Vacancy Status: This job posting is for an existing vacancy.
Similar Jobs
What you need to know about the Montreal Tech Scene
Key Facts About Montreal Tech
- Number of Tech Workers: 255,000+ (2024, Tourisme Montréal)
- Major Tech Employers: SAP, Google, Microsoft, Cisco
- Key Industries: Artificial intelligence, machine learning, cybersecurity, cloud computing, web development
- Funding Landscape: $1.47 billion in venture capital funding in 2024 (BetaKit)
- Notable Investors: CIBC Innovation Banking, BDC Capital, Investissement Québec, Fonds de solidarité FTQ
- Research Centers and Universities: McGill University, Université de Montréal, Concordia University, Mila Quebec, ÉTS Montréal
