Jobs in Canada

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Added 2 months ago
Senior Software Engineer (Senior AI Engineer)
Scotiabank
Toronto, ON
Experience developing large applications (Python and microservice architecture are strongly preferred).
Added 3 months ago
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Lead Underground Transmission Line Engineer 2 - Grid
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Added 3 months ago
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Senior Underground Transmission Line Engineer 2 - Grid
Sargent & Lundy
Toronto, ON · North York, ON
- Full-time
Added 3 months ago
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R2026-297 Senior Software Engineer
Adelphi Group
Toronto, ON
- Full-time
As a Senior Software Engineer - Full Stack with Perpetua, you will contribute to our core platform built primarily with Python, Django, React, TypeScript, BigQuery, and GCP. You will help…
Added 2 months ago
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Senior Software Engineer, Linux Kernel
Arista Networks
Vancouver, BC
- Full-time
Develop and maintain EOS Kernel features and tests using C, C++ and Python, review and contribute to functional and design specifications. Build automated tests and test infrastructure to…
Added 2 months ago
AN
BIOS Senior/Lead Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Develop automated tests using C, C++ and Python to validate your features.
Added 2 months ago
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PCIe Senior/Lead Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Develop automated tests using C, C++ and Python to validate your features.
Added 2 months ago
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Expert/Principal Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Independently implement solutions to small-sized problems in our EOS and related software, using the C, C++, and python programming languages.
Added 2 months ago
AN
Senior/Lead Software Engineer
Arista Networks
Vancouver, BC
- Full-time
Independently implement solutions to small-sized problems in our EOS software, using the C, C++, and python programming languages.
Added 2 months ago
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Intermediate Digital Hardware Design Engineer
Nokia
Canada
- Full-time
…and the VP of Hardware. We are also very lean - each Hardware Engineer spends more time doing engineering work and less time on overhead. As a result, your work has high visibility, and…
Added 2 months ago
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Mechanical Stress Analyst
AtkinsRéalis
Mississauga, ON · Quebec, QC
- Full-time
…and help advance CANDU nuclear technology. As a Mechanical Engineer, you will contribute to the design and analysis of critical reactor components, systems, and structures while…
Added 2 months ago
AN
Senior/Lead Software Engineer, Layer1
Arista Networks
Vancouver, BC
- Full-time
As a Layer1 software engineer, you will get to work on software that manages the physical layer, where packets meet the outside world. Stable and reliable physical connectivity is critical…
Added 1 month ago
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Senior Software Engineer
Voices
ON · Ontario, Canada
- Full-time
As a Senior Software Engineer, you’ll join a high-performing development organization working in cross-functional teams to design, build, and evolve modern full-stack systems that power…
Added 1 month ago
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Staff Software Engineer - Code Authoring
Forerunner
Kitchener, ON
- Full-time
Own the developer workflow end to end: how an engineer or an agent gets from a ticket to a merged, tested change. Know where it is slow or fragile, and change the tooling to fix it.
Added 2 months ago
LC
Testing Engineer - Research and Development
LonTrend Corporation
Edmonton, AB
- Full-time
Expertise in scripting language such as Python, Perl and TCL.
Added 4 months ago
LA
AI Engineer
LGS, an IBM Company
Montreal, Quebec
- Full-time
Join our teamJoin our team as an AI Engineer.
Added 4 months ago
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Enterprise Security Engineer
Opendoor
Toronto, Ontario
- Full-time
Strong scripting and automation in Python, Go, or TypeScript; comfortable writing infrastructure and configuration-as-code.
Added 4 months ago
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Senior Backend & Infrastructure Engineer
Scispot
Remote, Canada
- $80,000 to $120,000 USD / year
- Full-time
- Remote
We are looking for a senior backend and infrastructure engineer who treats production as a product.
Added 4 months ago
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Senior Frontend Engineer
Procurify
Remote, Canada
- $137,000 to $152,000 CAD / year
- Full-time
- Remote
Added 4 months ago
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Senior Data Engineer
BrainStation
Toronto, Ontario
- $120,000 to $145,000 USD / year
- Full-time
As a Senior Data Engineer you’ll be tasked with designing, building, and maintaining scalable data platforms and pipelines. Your deep knowledge of data platforms such as Azure Fabric,…
Added 4 months ago
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Data Engineer
Hotspex Media
Toronto, Ontario
- $85,000 to $115,000 CAD / year
- Full-time
Partner with Workflow Automation Engineer on ingestion contracts: landing schemas, refresh patterns
Added 4 months ago
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Full Stack AI Engineer
Scispot
Remote, Canada
- $80,000 to $120,000 USD / year
- Full-time
- Remote
Build polished workflows across React and TypeScript, Java Spring Boot and Python services, APIs, queues, data stores, and AWS infrastructure.
Added 4 months ago
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Embedded Software Engineer - DO 178
CS GROUP
Montreal, Quebec
- Full-time
Today CS Group Canada is looking for a Software Verification Engineer. Their role will be to test embedded software applications on aircraft and space system such as engine control, flight…
Added 4 months ago
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R&D Engineer
Eyeline
Vancouver, British Columbia
- Full-time
We are seeking an engineer who thrives at the intersection of research, open-source innovation, and production workflows. This role focuses on rapidly transforming novel research ideas,…
Added 4 months ago
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Senior Software Engineer, Backend
Brex
Vancouver, British Columbia
- $192,000 to $240,000 CAD / year
- Full-time
As an engineer at Brex, you will help develop new products from concept to launch, whether for a 5-person startup or a 5,000-person-strong enterprise. We’re looking for folks with an…

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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