About this role
The Canadian Data & Analytics function is at an inflection point. As Skip invests to become an AI-first business, the reliable cross-cloud pipelines, trusted consumption layer and engineering discipline that underpin it sit with the Data Engineering team.
As Senior Manager, Data Engineering, you'll lead a team of data and analytics engineers, plus a contractor pod, building the platforms and consumption layer that power decisions, ML and customer experiences across Skip Canada.
You'll operate at the intersection of a global AWS streaming platform and a Canadian GCP analytical estate (BigQuery, dbt, Snowplow, Tableau), partnering with Global Data Engineering, local Product & Tech and the wider DNA team.
The team and platform are mid-transformation, so this is a build role — technical leadership and team-building in equal measure. You'll bring clarity to standards and priorities, grow the team's craft and represent Data Engineering to senior stakeholders, leading, delivering and caring.
Location: Winnipeg/Toronto Remote
Reporting to: Associate Director of Data & Insights
These are some of the key components to the position:
- Own end-to-end reliability of the cross-cloud pipeline — batch and streaming architectures and external APIs through to GCP (BigQuery, Dataflow, dbt) and consumption.
- Lead the build-out of Canada’s Gold/semantic consumption layer with data contracts and SLAs, and retire the legacy analytics warehouse.
- Partner with the Lead Data Engineer on system design of our application databases and services, mapping the interactions critical to the warehouse.
- Raise engineering standards across data and analytics engineering and own incident response for Tier-1 pipelines.
- Lead, coach and grow data and analytics engineers plus a contractor pod — planning headcount, hiring and managing performance.
- Represent Data Engineering to senior stakeholders and Global Data Engineering, translating technical trade-offs into business terms and helping the team succeed.
What will you bring to the team?
- Hands-on command of streaming and batch platforms — Kafka/Confluent, lakehouse formats, Airflow — across a multi-cloud AWS and GCP estate.
- Architecture and modelling mastery: led a Gold/semantic layer from scratch in a marketplace or federated org, with expert BigQuery, dbt and dimensional/medallion modelling, defending trade-offs.
- Stood up an Analytics Engineering practice, coaching analysts into engineers on dbt modelling — incremental-vs-full-refresh trade-offs, quality gates and Slim CI for run-time/cost.
- Sets engineering standards where they’re missing — code review, CI/CD, testing, data contracts and governance.
- A people leader who builds and develops teams, and a credible partner who explains trade-offs to stakeholders and pushes back constructively.
- Thrives in ambiguity, a builder not a maintainer, honest and direct.
- Nice to have: ML exposure (Vertex AI, SageMaker).
At JET, this is on the menu:
Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment.
Fun, fast-paced and supportive, the JET culture is about movement, growth and about celebrating every aspect of our JETers. Thanks to them we stay one step ahead of the competition.