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Added 1 month ago
M
Senior Data Engineer
Morningstar
Toronto, ON
- Full-time
We are looking for a Senior Data Engineer with a minimum of 5+ years of experience in designing and implementing scalable, end-to-end data engineering solutions. The ideal candidate should…
Added 3 months ago
HP
Software Developer - Data and AI (12 month contract)
Hammond Power Solutions
Guelph, ON
- Full-time
…transformer technology. We currently have an opening for a Software Developer, Data and AI– 12 month contract, come grow with…
Added 4 months ago
A
Staff Applied Scientist (Distribution Center Solutions)
Afresh
Remote, Canada
- $169,000 to $252,000 CAD / year
- Full-time
- Remote
Ability to independently deliver high quality software implementations of your solutions in the Python data stack (numpy/torch/pandas/etc). Prior experience with Python is not required.
Added 4 months ago
BC
BCG Platinion | Senior AI Tech Architect - AI Platforms
Boston Consulting Group (BCG)
Toronto, Ontario
- $160,000 CAD / year
- Full-time
Boston Consulting Group (BCG) is a global consulting firm that partners with leaders in business and society to tackle their most important challenges and capture their greatest…
Added 4 months ago
S
Architecte en IA agentique - Intelligence Engineering / Agentic AI - Sr. Architect - Intelligence Engineering
Slalom
Montreal, Quebec
- Full-time
Développer en Python et, lorsque pertinent, dans d’autres langages afin de livrer des systèmes d’apprentissage automatique, des API, des harnais d’évaluation, des pipelines de récupération,…
Added 3 months ago
TR
Manager of Research Engineering, TR Labs
Thomson Reuters
Toronto, ON · Canada, Toronto, Ontario
- Full-time
…retrieval and natural language processing. We work closely with product and domain experts to identify compelling solutions at the intersection of user need and technical feasibility. Our…
Added 3 months ago
Q
AI/Machine Learning Engineer (Embedded Systems, Inference Efficiency)
Qualcomm
Markham, ON
- Full-time
…hardware–software interactions at a fundamental level, and collaborate with global teams to develop systems that shape future Qualcomm AI accelerator capabilities. New…
Added 3 months ago
M
Principal Data Scientist
Mastercard
Toronto, ON
- Full-time
Mastercard powers economies and empowers people in 200+ countries and territories worldwide. Together with our customers, we’re helping build a sustainable economy where everyone can…
Added 4 months ago
C
Senior Data Engineer
ClickUp
Canada
- Full-time
Advanced Python skills with emphasis on building reusable libraries, frameworks, and tooling.
Added 4 months ago
S
Agentic AI Architect - Intelligence Engineering (Toronto)
Slalom
Toronto, Ontario · Greater Toronto Area, Canada
- Full-time
At Slalom, we co-create modern technology and software products with clients who are ready to accelerate their digital product development. We imagine how things can be made better, then…
Added 4 months ago
DC
Software QA - Intermediate (Cloud Platform)
Delta Controls
Surrey, British Columbia
- Full-time
Collaborate with developers, product managers, architects, and QA team members to define testable requirements, acceptance criteria, and quality gates.
Added 3 months ago
PS
Senior Applied AI Engineer
Public Sector Pension Investment Board
Montreal, QC
- Full-time
We’re one of Canada’s largest pension investors, with CAD$320.6 billion of net assets as of March 31, 2026.
Added 4 months ago
B
Staff Application Security Engineer
Brex
Canada
- $240,000 to $300,000 USD / year
- Full-time
Engineering at Brex is about building systems that scale with speed and intention. Our teams span Software, Data, Security, and IT, and operate with high autonomy and deep collaboration. We…
Added 1 month ago
TC
Machine Learning Engineer - Express Scripts Canada
The Cigna Group
Mississauga, ON
- Full-time
- Other
The role blends hands-on data engineering (Oracle + ETL), model development (unsupervised learning), and API serving (Python/FastAPI), with close collaboration across business teams. You’ll…
Added 3 months ago
CH
Machine Learning Engineer - Express Scripts Canada
Cigna Healthcare
Mississauga, ON
- Full-time
The role blends hands-on data engineering (Oracle + ETL), model development (unsupervised learning), and API serving (Python/FastAPI), with close collaboration across business teams. You’ll…
Added 2 months ago
A
Senior Applied AI/ML Developer (AutoCAD & Civil 3D)
Autodesk
Toronto, ON · AMER - Canada - Ontario - Toronto - University Ave
- Full-time
Familiarity with AutoCAD, Civil 3D, or other AEC/design software (as a user or developer via their APIs/SDKs)
Added 3 months ago
FC
Sr. Analyst Advanced Analytics
Fidelity Canada
Toronto, ON
- Full-time
Hands-on experience with statistical modelling techniques using python
Added 2 months ago
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Senior Applied Researcher AI/ML ( CAD)
PointClickCare
Canada
- Full-time
At PointClickCare our mission is simple: to help providers deliver exceptional care. And that starts with our people. As a leading health tech company that’s founder-led and privately held,…
Added 3 months ago
UO
Artificial Intelligence Systems Team Lead, Enterprise Architecture Data Management
University of Saskatchewan
Saskatoon, SK
- Full-time
Strong development skills in Python or Java with solid software engineering fundamentals is preferred
Added 4 months ago
HM
Data Engineer
Hotspex Media
Toronto, Ontario
- $85,000 to $115,000 CAD / year
- Full-time
Location: Hybrid with the option for Remote if Outside Greater Toronto Area (must be legally authorized to work in and based in Canada)
Added 1 month ago
Analyste senior des données de jeu / Senior Game Data Analyst
Highdive
Montreal, QC
Added 4 months ago
K
Senior Software Engineer, Agents
Klue
Vancouver, British Columbia
- $140,000 to $196,000 CAD / year
- Full-time
Strong software engineering fundamentals. You write clean, maintainable, well-tested code. You're comfortable with Python and have experience with backend frameworks, APIs, and production…
Added 3 months ago
AG
Data Scientist (ML Engineer)
Adelphi Group
Toronto, ON
- Full-time
Our team primarily works with Python and the Google Cloud Platform suite of products like Cloud Run and Vertex AI to productize cutting-edge data features. We are currently working on…
Added 3 months ago
A(
Lead Applied Scientist
AXIS (AXIS Capital)
Halifax, NS
- Full-time
Strong programming ability in Python and fluency with the modern AI and data science tooling, including frameworks for building with large language models alongside libraries such as…
Added 2 months ago
Engineering Manager, Platform Infrastructure
OpenTable
Toronto, ON
Hands-on experience in Linux systems administration and practical experience with scripting or automation using Python, Go, or Bash.

Hotspex Media

Data Engineer

Toronto, ON, Canada

$85,000 to $115,000 CAD / year · Full-time

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Job details

Pay: $85,000 to $115,000 CAD / year
Job type: Full-time
Posting language: English
Posted: Jun 24, 2026

Original job description

Join Hotspex Media! 🙌 #1 Ranked Media Buying and Planning Agency on Clutch.co 🔥 Finalist 'Best AI Tool', 2024 Digiday Technology Awards 🎉 Hybrid Work Model (1 Day in Office / Week) 🥇 Winner of Waterstone Canada's Most Admired Corporate Cultures Reports to: Director of AI & ML Location: Hybrid with the option for Remote if Outside Greater Toronto Area (must be legally authorized to work in and based in Canada) Team: Small, high-autonomy team with direct access to leadership. Impact: Owns design, build, operation of Hotspex's data transformation and storage layer. About the Role & Mission Connect data across BigQuery, Postgres, and Airtable; expose clean datasets to AI, Workflow, Analytics consumers Build and maintain dbt models transforming marketing platform data into conformed dimensional schemas (Kimball facts/dimensions) Own SQL surface: queries, stored procedures, views, materialized views, scheduled routines Optimize warehouse performance and cost: query tuning, partitioning, clustering, incremental models Orchestrate pipelines with Airflow or similar Core Competencies SQL Engineering: Writes, tunes, maintains complex SQL across BigQuery and Postgres Stored Procedures & Routines: Designs and owns stored procedures, scripted procedures, UDFs, scheduled jobs dbt / Transformation Modeling: Builds and maintains dbt models with tests, docs, incremental patterns Pipeline Orchestration: Schedules and monitors pipelines via Airflow or similar Cross-Functional Partnership: Delivers consumable data products for AI, Workflow, Analytics Job Specific Competencies Advanced SQL: Complex joins, window functions, CTEs, query optimization, execution plans on BigQuery and Postgres Stored Procedures & Routines: Production stored procedures, scripted procedures (BigQuery scripting / PL/pgSQL), UDFs, scheduled queries with error handling, idempotency, observability dbt Modeling: Sources, staging, intermediate, marts; tests; documentation; incremental strategies; macros Pipeline Orchestration: Airflow, Dagster, Prefect, or equivalent Data Modeling: Kimball facts/dimensions, slowly changing dimensions, conformed schemas Warehouse Optimization: Partitioning, clustering, materialized views, cost tuning on BigQuery Airtable Integration: Schema mapping, sync patterns, base-as-source Job ResponsibilitiesConnect & Optimize Data Own connectivity between BigQuery, Postgres, and Airtable; ensure consumers (AI, Workflow, Analytics) get the schema they need Refactor ad-hoc SQL into versioned, tested, documented routines Optimize cost and performance: partitioning, clustering, materialization Detect and fix performance regressions before downstream impact SQL & Stored Procedure Ownership Own every production stored procedure, scripted procedure, scheduled query across BigQuery and Postgres Author new stored procedures for batch transforms, reporting routines, AI/ML feature prep Maintain stored-procedure inventory with ownership, dependencies, runbooks dbt Model Build & Maintenance Design schemas and write dbt models transforming marketing platform data (Google Ads, Meta, LinkedIn, etc.) into conformed dimensional schemas Implement dbt tests (uniqueness, not-null, referential integrity, custom rules) on every production model Maintain incremental models for high-volume tables; tune for cost and freshness Own dbt documentation and lineage Pipeline Orchestration Schedule, monitor, and version pipelines in Airflow or similar Alert routing, retry policy, backfill patterns Coordinate with Workflow Eng on hand-off points between n8n and orchestrated data pipelines Data Quality, Monitoring & Reliability Implement automated tests (dbt tests, freshness checks, row-count anomaly detection) Detect and acknowledge data quality incidents within 1 business hour (SLA) Author runbooks for common failure modes Track and reduce incident frequency; report trends quarterly Cross-Functional Partnership Partner with Workflow Automation Engineer on ingestion contracts: landing schemas, refresh patterns Partner with Junior AI Engineer on data needs for RAG, embeddings, AI services: feature tables, serving views Translate PM/CS and Product requirements into dimensional models Owns: SQL design, stored procedure logic, transformation modeling, performance choices Does not own: automation logic (Workflow Eng), AI service code (Jr AI Eng), client-facing strategy Documentation & Knowledge Use Claude Code for stored procedure docs, model READMEs, schema references Version-controlled repos, clean Markdown, proper Git hygiene Document data contracts: ingestion → transformation → consumption Continuous Improvement Use AI tooling (Claude Code, Cursor) to accelerate SQL authoring, refactoring, documentation Track and report query cost reduction and model freshness improvement quarterly Resolve categories of technical debt: consolidating duplicated SQL, retiring shadow tables Explicitly Out of Scope n8n automation design and ownership (Workflow Automation Engineer) Rust service development, RAG pipelines, embedding models (Junior AI Engineer) Looker dashboard authoring and LookML feature development Strategic analytics presentations to leadership ML model engineering, training, prompt engineering as a discipline Required Qualifications 2+ years data engineering, analytics engineering, or database development Strong SQL - complex joins, window functions, CTEs, query optimization (must demonstrate) Hands-on stored procedure experience - production stored procedures (BigQuery scripted procedures, PL/pgSQL, T-SQL, PL/SQL, or equivalent). Non-negotiable. Working knowledge of dbt (or strong SQL/Git fundamentals to ramp quickly) Python or other scripting language for data tasks (Java, Scala, TypeScript also acceptable) Airflow or similar pipeline orchestration experience (Dagster, Prefect, dbt Cloud schedules, Cloud Composer) Dimensional modeling fundamentals - facts, dimensions, grain, conformed schemas Git fundamentals - branches, PRs, code review participation Documentation discipline - version-controlled Markdown Strongly Preferred BigQuery production experience (partitioning, clustering, scripted procedures, scheduled queries) Postgres production experience (PL/pgSQL, indexes, query plans) Airtable production experience (schema design, sync patterns, API integration) Production dbt experience (Cloud or Core) Marketing/advertising data sources (Google Ads, Meta, LinkedIn) AI tooling (Claude Code, Cursor, ChatGPT) as daily accelerator Nice to Have Looker / LookML exposure (consumer-side; not required to own) n8n or other workflow orchestrators RAG / vector search data prep Agency, media, or analytics domain Technology Stack Languages: SQL (advanced), Python (or equivalent), optionally JavaScript for dbt/BigQuery UDFs Data: BigQuery, Postgres, Airtable, dbt, Redis (cache awareness) Orchestration: Airflow (or Dagster, Prefect, Cloud Composer), dbt Cloud Run Integration consumer-side: n8n Cloud: GCP Observability: Cloud Monitoring, Looker (consumer-side) Tools: Linear, GitHub, Claude Code, Cursor What this Role is NOT Not a data analyst - no ad-hoc analysis, dashboarding, stakeholder reporting Not analytics engineering / dashboards - LookML and Looker dashboards not owned Not workflow automation - n8n belongs to Workflow Automation Engineer Not ML / AI engineering - model development belongs to AI team Not a DBA - no infrastructure provisioning or cluster management Our Values: We know our people are what allows us to achieve all that we do and that’s why it’s important that everyone we bring onto our team lives our values with us. 🦁 Courage 1️⃣ One Team 💪 Resilience 🚀 Empowerment Hotspex Media Inc. is an equal opportunity employer and values diversity in its workforce. Due to the large volume of applications received, Hotspex Media may, from time to time, use artificial intelligence to optimize screening efforts.

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More about this job

Responsibilities

The Data Engineer will own the design, build, and operation of Hotspex's data transformation and storage layer, connecting data across various platforms and ensuring optimal performance. Responsibilities include maintaining dbt models, optimizing SQL queries, and orchestrating data pipelines.

Requirements

Candidates should have at least 2 years of experience in data engineering or analytics engineering, with strong SQL skills and hands-on experience with stored procedures. Familiarity with dbt and pipeline orchestration tools like Airflow is also required.

Skills

SQL Engineering
Stored Procedures
dbt Modeling
Pipeline Orchestration
Data Modeling
Warehouse Optimization
Airtable Integration
Advanced SQL
Python
Airflow
Dimensional Modeling
Git
Documentation Discipline
BigQuery
Postgres
Data Quality Monitoring

Visa sponsorship

Not detected in the job text

Hiring contact

Director of AI & ML

Keywords

Data Engineer
SQL
BigQuery
Postgres
Airtable
dbt
Airflow
Data Transformation
Data Storage
Pipeline Orchestration
Dimensional Modeling
Stored Procedures
Analytics
AI
Workflow
Marketing Data
Cloud
GCP
Data Quality
Monitoring
Documentation
Git
Performance Optimization
Schema Design
Integration
Automation
Technical Debt
Incident Management
Data Products
Consumer Data

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