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 explicit, 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
What's in it for you: 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
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 m
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 m

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📌 Senior Analytics Engineer (m/f/d) (Ontario)
🏢 Autotradercanada
📍 Ontario