Senior Manager - Data Engineering

Just Eat Takeaway.com•Toronto, ON

1d•CA$120,000 - CA$160,000•Remote

About The Position

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.

Requirements

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 Haves

ML exposure (Vertex AI, SageMaker).

Responsibilities

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.