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Added 2 months ago
S
Staff Engineer - Toronto
Sokin
Toronto, ON
- Full-time
Proven experience in one or more programming languages, such as Python, Java, C++, or JavaScript - our stack is based on Python, Flask, Fast API, AWS, Angular etc.
Added 3 months ago
C
Senior Quality Engineer (Python, SQL)
Cognizant
Halifax, Nova Scotia
- $70,000 to $90,000 CAD / year
- Full-time
…spans the breadth of Windows and Linux platforms, Python / Java environments, HDFS, Kafka , MS SQL , Snowflake , Data bricks…
Added 1 month ago
Web Application Penetration Tester
Wawanesa Insurance
Toronto, ON · Winnipeg, MB · Moncton, NB · Ottawa, ON · Kitchener, ON · Montreal, QC · Vancouver, BC · Dartmouth, NS · Edmonton, AB · Calgary, AB · Hybrid - Canada, ON · North York - Toronto, ON (Hybr, ON
working with markup, scripting, and programming languages such as HTML, XML, JavaScript, PHP, Perl, Python, Bash, ASP, C++, C#, Java, and .NET.
Added 3 months ago
AO
Software Engineer
Agents Only Technologies
Remote, Canada
- Full-time
- Remote
Proficiency in one or more programming languages such as Python, JavaScript, Java, C#, Go, or similar technologies.
Added 1 month ago
E
Technical Lead / Senior Developer - Software Development
EY
Victoria, BC
- Full-time
Understanding of API gateways and service mesh architectures.
Added 3 months ago
DC
Software QA - Intermediate (Cloud Platform)
Delta Controls
Surrey, British Columbia
- Full-time
Strong programming skills in one or more languages such as Python, TypeScript, JavaScript, C#, Java, or Go.
Added 3 months ago
TN
Developer Manager (Java)
The Nationwide Group
Markham, Ontario
- $145,000 to $165,000 CAD / year
- Full-time
The Developer Manager (Java) will lead a team of software developers in designing, building, and maintaining robust Java-based applications and APIs that power TNG’s fintech platforms.…
Added 1 month ago
GM
Senior Software Engineering - Device Data Capture
General Motors
Markham, ON · Oshawa, ON
- Full-time
…middle of a significant modernization push: retiring legacy API versions, hardening authorization across every service, and redesigning our service-to-service network…
Added 2 months ago
E
Senior Software Engineer - Full Stack
Emburse
Toronto, ON
- Full-time
Produces quality API documentation and ensures practices are followed
Added 3 months ago
VG
[VO2 Canada] - Développeuse.eur Fullstack- Missions Ponctuelles
VO2 GROUP
Montreal, Quebec
- Full-time
Added 3 months ago
VG
open saved [VO2 Canada] - Développeuse.eur Back-End- Missions Ponctuelles
VO2 GROUP
Montreal, Quebec
- Full-time
Added 2 months ago
F
Staff Front-End Developer (Angular)
Fortinet
Burnaby, BC
- Full-time
…devices, and data everywhere. We're seeking a Staff Front-End Developer with deep Angular expertise and strong leadership capabilities to drive the architecture, scalability, and evolution…
Added 1 month ago
V
Senior Backend Engineer
Venn
Toronto, ON
- Full-time
5+ years of professional experience with Java.
Added 1 month ago
E
Technical Lead / Senior Developer - Software Development
EY
Toronto, ON
- Full-time
Understanding of API gateways and service mesh architectures.
Added 2 months ago
UO
Artificial Intelligence Systems Team Lead, Enterprise Architecture Data Management
University of Saskatchewan
Saskatoon, SK
- Full-time
Oversees the development and maintenance of AI infrastructure, including model orchestration layers, governance workflows, API integrations, and protected computing environments
Added 3 months ago
HM
Data Engineer
Hotspex Media
Toronto, Ontario
- $85,000 to $115,000 CAD / year
- Full-time
Python or other scripting language for data tasks (Java, Scala, TypeScript also acceptable)
Added 3 months ago
S
Full Stack AI Engineer
Scispot
Remote, Canada
- $80,000 to $120,000 USD / year
- Full-time
- Remote
Build the GLUE and API layers that reliably move data from lab instruments, external systems, and scientific files into Scispot.
Added 3 months ago
C
Développeur Java
CGI
Montreal, Quebec
- Full-time
Stack technique: Java 17 et version supérieure, Gradle, Git (GitHub), Github Actions, Spring-boot 3 et +, Spring cloud, Mapstruct, Lombok, Open API, Restful API
Added 1 month ago
Sr. Developer
Rogers Communications
Brampton, ON · Toronto, ON
…developers, server-side developers and tech lead to design and build API services. Also responsible for the Systems integration testing of applications prior to code release to Quality…
Added 1 month ago
Senior Software Engineer, Scheduling
Toast
Toronto, ON
5+ years of back-end experience with one or more object-oriented programming languages (such as Java, Kotlin, or similar).
Added 1 month ago
A
Software Engineer (C++) - Platform & Emerging Technologies
Autodesk
Toronto, ON · Montreal, QC
- Full-time
Contribute ideas that improve products, processes, and developer experiences.
Added 2 months ago
Product Engineer - Brand - Fullstack, Backend or Frontend
Faire
Toronto, ON · Kitchener, ON
Proficient in at least one of Java, Kotlin, or JavaScript.
Added 1 month ago
E
Technical Lead / Senior Developer - Software Development
EY
Edmonton, AB
- Full-time
Understanding of API gateways and service mesh architectures.
Added 3 months ago
E
Senior Software Engineer - Backend
Evertz
Burlington, Ontario
- Full-time
5+ years of software engineering experience in a strongly typed language; Java preferred (Python, Rust, Go, C++, or C# also considered)
Added 3 months ago
U
Tech Lead, Software Development
Univeris
Toronto, Ontario
- $100,000 to $130,000 CAD / year
- Full-time
…of their team's output and the professional growth of every developer on their team. The following responsibilities apply across all…

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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