Find work in Canada.

504,070 jobs across our Canadian network. How we count

Jobs in Canada

Email me new jobs Save this search

Added 4 months ago
S
Senior Backend & Infrastructure Engineer
Scispot
Remote, Canada
- $80,000 to $120,000 USD / year
- Full-time
- Remote
Build and evolve backend services in Python and FastAPI, Java and Spring Boot, or closely related frameworks.
Added 4 months ago
HM
Data Engineer
Hotspex Media
Toronto, Ontario
- $85,000 to $115,000 CAD / year
- Full-time
2+ years data engineering, analytics engineering, or database development
Added 4 months ago
B
Manager, Data Engineer
Brookfield
Toronto, Ontario
- Full-time
Optimizing database schemas and performance for reading and writing of data and upstream processing in the reporting system
Added 4 months ago
RB
Senior Analyst, Acquisition
Rogers Bank
Toronto, Ontario
- Full-time
Data analysis skills must include 2+ years of experience using statistical programs such as SAS, Python, R, Knowledge Studio, or similar
Added 1 month ago
Software Development Manager, Tools & Products
2K
Montreal, QC
Compétences avancées en programmation en C++, C# ou Python dans de grandes bases de code à branches multiples.
Added 3 months ago
D
Software Engineer - Canada
DataVisor
Remote, Canada
- Full-time
- Remote
…and eager engineers to help us expand our novel streaming and database systems, which enable our detection…
Added 3 months ago
Développeur Java / Java Developer
mthree
Montreal, QC
…performances et l’utilisation d’outils ETL tels qu’Informatica ou Python…
Added 3 months ago
U
Technical Lead Data (TGQF)
Ubisoft
Montreal, QC
- Full-time
Act as a subject matter expert in relational and non-relational database optimization.
Added 2 months ago
Software Developer - Core Data
Squarepoint Capital
Montreal, QC
We are looking for talented software engineers with strong Python and/or kdb+/q experience to join our team. You will be part of a collaborative, learning-oriented environment where…
Added 4 months ago
KC
Manager, Financial Crimes- Data Analytics
KPMG Canada
Ottawa, Ontario
- Full-time
…and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 4 months ago
KC
Manager, Financial Crimes- Data Analytics
KPMG Canada
Toronto, Ontario
- Full-time
…and validate financial crime systems and models using SQL, Python, R, and other programming languages, performing statistical analyses on samples, interpreting results, and effectively…
Added 4 months ago
SG
DevOps Specialist
SCIENTIFIC GAMES
Montreal, Quebec
- Full-time
…avec Terraform et Ansible ; la maîtrise de CloudFormation, Python, Bash, PowerShell, GitOps ou d’outils similaires constitue un atout…
Added 4 months ago
C
Data Analyst Specialist.
Cogeco
Remote, Canada
- $35,000 to $60,000 USD / year
- Full-time
- Remote
Experience with Python or R for data analysis
Added 3 months ago
B
Senior Consultant, Migration Engineer
BDO
Toronto, ON
- Full-time
Lead and support application, infrastructure, database, and data migration initiatives for enterprise clients.
Added 3 months ago
N
Senior Customer Support Engineer
Nokia
Canada
- Full-time
Generate release notes and update the Customer Service and Support Problem tracking database.
Added 3 months ago
S
Senior Backend & Infrastructure Engineer
Scispot
Canada
- Full-time
Build and evolve backend services in Python and FastAPI, Java and Spring Boot, or closely related frameworks.
Added 1 month ago
BP
Senior MSSQL/Sybase Database Administrator – VP
BNP Paribas
Montreal, QC
- Full-time
Automation & Scripting: Proficiency in PowerShell, Python, Bash, Ansible, or Terraform to automate database and replication tasks.
Added 1 month ago
EA
Senior Software Engineer - Backend
Electronic Arts (EA)
Vancouver, BC
- Full-time
Experience working on software that requires developing and optimizing queries and database access patterns
Added 4 months ago
EP
DevOps Administrator II
Engage People Inc.
Markham, Ontario
- Full-time
Proficiency with scripting languages (Bash / Python or similar) for AWS Lambda functions and CI/CD pipelines.
Added 5 months ago
FW
Full Stack Developer
First West Credit Union
City of Langley, British Columbia
- Full-time
The Full Stack Developer designs, develops, and maintains scalable web applications and robust APIs that support Tru Cooperative Bank’s digital ecosystem. This role requires proficiency in…
Added 4 months ago
AT
ead Full Stack Developer (C# / .NET Core / Azure)
Aarorn Technologies Inc
Toronto, Ontario
- Contract
Job Title: Lead Full Stack Developer (C# / .NET Core / Azure)
Added 2 months ago
Business Intelligence Specialist (with Qlik and/or C# experience)
CAA Club Group
Thornhill, ON
Read and interpret database schema and analyze business requirements
Added 3 months ago
ME
Software Developer (Junior to Intermediate)
MAD Elevator Inc
Mississauga, ON
- $72,000 to $95,000 CAD / year
- Full-time
As a Junior Software Developer, you will collaborate with our Principal Software Developer to build, maintain, and enhance code for both existing and new projects.
Added 2 months ago
PL
Business Data Analyst - Retro Administration
PartnerRE Ltd.
Toronto, ON
- $65,000 to $85,000 CAD / year
Proficiency in SQL, Python and Microsoft Office; VBA preferred.
Added 4 months ago
R
Senior Full Stack Developer
roomvu
Vancouver, British Columbia
- $70,000 to $75,000 CAD / year
- Full-time
Roomvu is seeking a Senior Full Stack Web Application Developer to build, maintain, and enhance customer-facing web applications, SaaS platforms, and internal business tools. The successful…

Hotspex Media

Data Engineer

Toronto, ON, Canada

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

Apply About employer

Applications open in a new tab.

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.

Apply About employer

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

Report this job