Senior Analytics Engineer (m/f/d)
About The Position
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.
Requirements
- 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
Nice To Haves
- Experience with semantic layers, shared metric frameworks, or AI-driven analytics is a strong advantage
- A proactive, collaborative, and solution-driven mindset
Responsibilities
- 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
Benefits
- 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
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
No Education Listed
