Senior Analytics Engineer (m/f/d)

AutoTrader.ca; Toronto; On-site; CAD 130,000 - 170,000; Full time

Benefits offered by this job

Employee and Family Assistance program

Virtual wellness events

Regular internal training programs

Financial planning with 3% matching P​

Annual bonus structure

Job summary

AutoTrader.ca, a Canadian leader in digital automotive solutions, is seeking a Senior Analytics Engineer to join the Analytics Engineering team. You will own complex technical workstreams, design scalable data products, and set direction for analytical systems that support reporting and AI-driven decision-making.

You will mentor engineers, collaborate with Data Platform, Product Analytics, and Governance teams, and strengthen modeling standards, testing, and automation.

Qualifications

• 7+ years in Analytics Engineering or related data role.
• Deep experience designing, building, and scaling analytical models.
• Advanced SQL and semantic modeling expertise.
• Cloud-native platforms on AWS (Glue, Athena, S3, MWAA).

Responsibilities

• Own complex analytics workstreams from framing to delivery and adoption.
• Design scalable data products and reusable semantic layers.
• Set technical direction for analytical systems and models.
• Improve standards, testing, and quality gates across the team.
• Mentor analytics engineers and analysts through reviews and guidance.
• Ensure accuracy, privacy, security, and business alignment of solutions.

Skills

Advanced SQL

Python

Semantic modeling

Data quality

Observability

Mentoring

Stakeholder alignment

Analytics modeling

AWS know-how

Tools

AWS Glue

AWS Athena

S3

MWAA

Python

Job description

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’reshaping 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.

• 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 strongtrack recordof 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

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 therolethe total rewards package may also include benefits,bonus, and other employee offerings.

What'sin it for you:

• Employee and Family Assistance program
• Virtual wellness events
• Regular internal training programs
• Financial planning with 3% matching Pension
• 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 may also include benefits, bonus, and other employee offerings.

The base salary range for this position is

$130,000 - $170,000 CAD

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.