Senior Analytics Engineer (m/f/d)

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

<li data-leveltext="" data-font="Symbol" data-listid="7" data-list-defn-props="{"335552541":1,"335559685":720,"335559991":360,"469769226":"Symbol","469769242":[8226],"469777803":"left","469777804":""