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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 4 months ago
KC
Hardware Test Engineering Manager
Kepler Communications Inc.
Toronto, Ontario
- Full-time
…enabling a new era of data-driven exploration and innovation. With 33 satellites launched to date, Kepler operates the first commercial optical data relay constellation, enabling real-time,…
Added 4 months ago
B
Senior Software Engineer, Backend
Brex
Vancouver, British Columbia
- $192,000 to $240,000 CAD / year
- Full-time
Experience working with SQL or NoSQL databases
Added 4 months ago
C
Senior Software Engineer
Clutch
Toronto, Ontario
- $160,000 to $200,000 USD / year
- Full-time
Experience with relational databases (PostgreSQL, MySQL, Oracle) and writing efficient SQL queries, schema design, and performance optimization
Added 4 months ago
B
MarTech Developer
BrainStation
Toronto, Ontario
- $90,000 to $120,000 USD / year
- Full-time
As a MarTech Developer, you'll be tasked with working on a variety of client-facing marketing technology initiatives. Working within cross-functional project teams, your responsibilities…
Added 4 months ago
B
Manager, Data Engineer
Brookfield
Toronto, Ontario
- Full-time
Proven expertise in ETL/ELT, data modeling, data warehousing, data Lakehouse concepts with extensive experience with SQL and Python programming.
Added 4 months ago
PI
Data Platform Engineer
Princeton IT Services, Inc
Toronto, Ontario
- Contract
Hands-on experience with SQL and analytical databases for writing optimized queries, aggregations, and data transformations.
Added 4 months ago
RB
Senior Analyst, Acquisition
Rogers Bank
Toronto, Ontario
- Full-time
Highly proficient with the use of database querying tools such as SQL
Added 3 months ago
PR
Senior Robotics and Control Engineer
Promise Robotics
Calgary, AB
- Full-time
(Preferred) Programming experience in Python, SQL or similar language
Added 2 months ago
C
Global Logistics Data & Digital Transformation Analyst
CAE
Montreal, QC
- Full-time
Collaborate with Export Logistics, Import Logistics, Traffic Operations, Trade Compliance, and Logistics Planning teams to develop data-driven solutions, maintain reporting governance,…
Added 2 months ago
Software Developer - Data Platform
Squarepoint Capital
Montreal, QC
Data Platform is a team of Python developers working closely with technology developers and quantitative developers to design, build, test, and maintain libraries, services and frameworks…
Added 2 months ago
D
Software Engineer - Canada
DataVisor
Remote, Canada
- Full-time
- Remote
…delivers the best overall detection coverage in the industry. With an open SaaS platform that supports easy consolidation and enrichment of any data, DataVisor's solution scales infinitely…
Added 3 months ago
PF
Lead Data Engineer
PureFacts Financial Solutions
Toronto, ON
- $130,000 to $150,000 CAD / year
Experience with any programming language (e.g., Python, Scala).
Added 2 months ago
O
Senior Data Engineer
OMERS
Toronto, ON · Head Office Toronto
- Full-time
Strong hands-on experience with Python, PySpark, and SQL.
Added 2 months ago
Développeur Java / Java Developer
mthree
Montreal, QC
…la création de procédures stockées, l’écriture de requêtes SQL, l’optimisation des performances et l’utilisation d’outils ETL tels qu’Informatica ou Python…
Added 1 month ago
Analyste senior des données de jeu / Senior Game Data Analyst
Highdive
Montreal, QC
Added 2 months ago
Software Developer - Data Reliability
Squarepoint Capital
Montreal, QC
Python: 3+ years of hands-on experience programming in Python, and familiarity with version control systems such as Git
Added 1 month ago
TC
Unpaid Internship: Gaming (Unity Game Engine) Intern Developers Fall 2026
The Commons XR
Remote, Canada
- Remote
Our Environment UNITY (6.x), Unity Netcode, C#, SQL, Python, AWS Cloud (AWS Resources, EC2, RDS, Lambda, Cloudwatch, Bedrock, Sagemaker, DynamoDB, Redshift), Postgres, Docker, Kubernetes,…
Added 1 month ago
MI
Actuarial Associate
Millennium Insurance Corporation
Sherwood Park, AB
- Full-time
Advanced proficiency in Excel and at least one analytical or programming language such as SQL, R, Python, SAS, or VBA
Added 4 months ago
S
RevOps Engineer
Studeo
Remote, Canada
- $80,000 to $120,000 CAD / year
- Full-time
- Remote
Studeo is an AI-driven interactive storytelling platform that empowers marketers with the ability to create mesmerizing, interactive story-based content across a variety of verticals. Our…
Added 5 months ago
S
Java Developer
Synechron
Montreal, Quebec
- $85,000 to $95,000 CAD / year
- Full-time
Work autonomously as an independent developer with minimal oversight.
Added 4 months ago
T
Structurer
TradingHub
Toronto, Ontario
- Full-time
Hands-on skills in a programming/scripting language such as SQL, Python, C#
Added 4 months ago
C
Jr Data Engineer - Custom Solutions
Citylitics
Toronto, Ontario
- $70,000 to $80,000 CAD / year
- Full-time
This role requires a solid understanding of data engineering best practices, and experience with orchestration, data modeling, and data warehouses. You'll be responsible for designing,…
Added 2 months ago
Forward Deployed Engineer, Supply Chain
Jetson Home
North Vancouver, BC
…get things into people's hands. You're fluent in TypeScript, Python, or other high-level language, comfortable with SQL, APIs, and cloud tooling, and you write code others can build on. You…
Added 2 months ago
U
Technical Lead Data (TGQF)
Ubisoft
Montreal, QC
- Full-time
Strong proficiency in one or more of the following languages: Python, PySpark, SQL, and Scala.

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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