Senior Analytics Engineer (m/f/d)
autotradercanada
Toronto, ON (Canada)
Posted Aug 25, 2026
- Other
- Engineering
Job description
We are a Canadian leader in digital automotive solutions. Our flagship brands -****, **AutoSync**, **Dealertrack Canada and CMS** - help Canadians buy, sell, and finance vehicles with confidence.
**** 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