Jobs in Canada

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Added 20 mins ago
K
Ingénieur ( e) de données- Data Engineer
Klever
Montreal, QC
- Full-time
Added 2 hours ago
M
Senior Android SDK Developer
MapsPeople
Toronto, ON
- Full-time
…connected environments. As we scale, we're looking for a Staff Engineer to help shape the technical direction of our…
Added 2 hours ago
OG
Compiler Engineer
Oho Group
Toronto, ON
- $250,000 to $400,000 CAD / year
- Full-time
They’re looking for a Compiler Optimization Engineer to shape the part of the compiler that turns model structure into better execution.
Added 3 hours ago
L
Senior AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As a Senior AI/ML Engineer, you will lead the delivery of scalable AI/ML solutions to business problems. You will build, deploy, scale and maintain AI/ML solutions. You will apply…
Added 14 hours ago
Staff Machine Learning Engineer, AdTech
HelloFresh
Toronto, ON
We are looking for a Staff Machine Learning & AI Engineer to lead the engineering architecture of our multi-agent AI systems, with a focus on agent-driven products. In this role, you will…
Added 15 hours ago
AC
Senior Product Development Engineer – Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
Position: Senior Product Development Engineer – Liquid Cooling for Front-End I/O Connectors
Added 15 hours ago
AC
Senior Product Development Engineer – Liquid Cooling
Amphenol Communications Solutions
Markham, ON
- Full-time
Position: Senior Product Development Engineer – Liquid Cooling for Front-End I/O Connectors
Added 15 hours ago
AC
Senior Product Development / Mechanical Design Engineer - High Speed Connectors
Amphenol Communications Solutions
Markham, ON
- Full-time
Position: Senior Product Development / Mechanical Design Engineer – OSFP & High-Speed I/O Connectors
Added 15 hours ago
TR
Principal Software Engineer / Architect – AI – Legal FDE
Thomson Reuters
Toronto, ON
- Full-time
Added 16 hours ago
Software Dev Engineer
Amazon
Toronto, ON
Added 18 hours ago
GD
Mechanical Engineer, Design
General Dynamics Missions System International
Calgary, AB
- Full-time
Added 18 hours ago
GD
Mechanical Engineer, Design
General Dynamics Mission Systems–Canada
Calgary, AB
- $77,000 to $93,000 CAD / year
- Full-time
Added 18 hours ago
C
Staff Software Engineer
Coveo
Montreal, QC · Greater Montreal Metropolitan Area
- Full-time
Added 18 hours ago
RT
Quality Engineer
Reverence Technologies
Vancouver, BC
- Contract
Senior QA Engineer with experience across our in-store Point-of-Sale (POS) and mobility stack, including Oracle Xstore and Xmobile, to support application architecture, development and…
Added 18 hours ago
GD
Mechanical Engineer, Design
General Dynamics Mission Systems–Canada
Calgary, AB
- $77,000 to $93,000 CAD / year
- Full-time
Added 19 hours ago
JG
AI Developer / DevOps Engineer
J&M Group
Calgary, AB
- Full-time
We are hiring for a AI Developer / DevOps Engineer Azure, AWS & CI/CD. This role focuses on cloud infrastructure, DevOps automation, and AI-driven solutions across Azure and AWS…
Added 19 hours ago
AM
Principal Software Development Engineer
Advanced Micro Devices, Inc
Vancouver, BC
- Full-time
AMD is seeking a Principal Member of Technical Staff (PMTS) Software Development Engineer to join AMD Silo AI and drive the technical development of the AMD Inference Microservice (AIM)…
Added 22 hours ago
AI
Senior AI & DevOps Engineer – Azure, AWS & Generative AI
Astra-North Infoteck Inc. ~ Conquering today’s challenges, achieving tomorrow’s vision!
Calgary, AB
- Full-time
Added 22 hours ago
TC
QA Engineer – Playwright with Python, GIT & AI
TechNeptune Consulting Inc.
Canada
- Contract
Added 23 hours ago
Technology - Brokerage Engineering - Senior Data Engineer
Questrade Financial Group
Toronto, ON
Work-life balance in a hybrid environment with at least 3 days in office
Added 1 day ago
G
Senior Databricks Data Platform Engineer
Galent
Montreal, QC
- Contract
Job Title: Senior Databricks Data Platform Engineer
Added 1 day ago
M
Data & Infrastructure Engineer
Mecka
Remote, Canada
- $150,000 to $185,000 CAD / year
- Full-time
- Remote
4+ years as a data, platform, or infrastructure engineer owning production systems end to end.
Added 1 day ago
T
Senior Full Stack AI Developer
Teqfocus
Toronto, ON
- Contract
We are looking for a hands-on engineer who combines strong Python backend engineering, modern frontend development, and practical AI implementation experience.
Added 1 day ago
L
AI/ML Engineer
lululemon
Vancouver, BC
- Full-time
As an AI/ML Engineer, you will contribute to the design and implementation of AI/ML systems across the full model lifecycle from dataset curation, feature engineering, and model training…
Added 1 day ago
A
Principal Data Engineer, User Success (Agentic Experiences)
Autodesk
Vancouver, BC
- Full-time
The Principal Data Engineer will report to Director of Growth and Data Science in the Experience Foundations organization. This is a critical data science role for our agentic insights…

Klever

Ingénieur ( e) de données- Data Engineer

Montreal, QC, Canada

Full-time

Apply on LinkedIn About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: May 11, 2027
Posting language: English · French
Posted: Nov 12, 2026

Original job description

English section of this bilingual listing.

Data Engineer

WE ARE KLEVER

Take a bold step in your career by joining the team at Klever Programmatic, a global leader in programmatic advertising solutions and one of the fastest growing companies in North America. Klever allows advertisers and agencies of all sizes to advertise on a wide array of digital programmatic channels (display, video, CTV, programmatic audio, DOOH, native, mobile…). Programmatic advertising is a complex and fast-growing field where expertise like Klever’s is scarce and essential.

Summary

Join our team of data and AI specialists and build the data foundation that powers our AI agents and the models that predict advertiser campaign outcomes across industries. You’ll design pipelines on Google Cloud and give agents access to data through APIs and MCP servers. No ad tech background needed: we’ll teach you the industry. This role is hybrid, based in our Montreal office.

Job Description

Collaborate with cross-functional teams, including data scientists, domain experts, and software engineers, to understand data requirements and provide the necessary infrastructure and support.
Implement data pipelines that preprocess, clean, and prepare large datasets for various purposes: feeding AI agents and our data science models.
Work with agent communication and tool/data access patterns (e.g. Agent2Agent (A2A), MCP, agent skills, or similar emerging standards). These standards are new for everyone, so we’ll learn them together.
Build data pipelines hosted in Google Cloud with technologies like BigQuery, Apache NiFi, Vertex AI, Firestore (NoSQL database), external APIs and other cloud services.
Develop APIs and MCP servers for model-serving and LLM-powered systems.

Qualifications

Required experience and skills

Hands-on experience in implementing data engineering solutions.
Proficiency in Python, and good knowledge of SQL and data modelling principles.
Strong data manipulation and preprocessing skills, including feature engineering and common storage formats (JSON, Parquet, etc.).
Experience building, orchestrating and monitoring batch data processing applications.
Familiarity with software development best practices, version control systems (Git), and agile methodologies.
Interest in using coding agents like Claude Code and Codex.

We encourage you to apply even if you don't check every single box. If you're excited about this role and your experience doesn't align perfectly, we still want to hear from you.

Nice to Have

Familiarity with Apache NiFi, Kedro, LangChain, TensorFlow and/or PyTorch.
Good understanding of ML/AI concepts and best practices, and of how data supports models in production.
Infrastructure-as-code (Terraform) and containerization (Docker).
Hands-on experience with MLOps/AI platforms, or with machine learning models and algorithms that address complex business challenges.
Experience with big data technologies and distributed computing.
Domain knowledge about the advertising and marketing industries.
Knowledge of Google Cloud and BigQuery (equivalent experience on AWS or Azure is also welcome).
Experience with coding agents.

Soft skills

Strong communication skills.
Creative thinker with excellent problem solving abilities.
Self-motivated, entrepreneurial and detail-oriented; comfortable working independently or as part of a team in an agile environment.

Ingénieur·e en données (Data Engineer)

Read the full bilingual original

Data Engineer

WE ARE KLEVER

Summary

Job Description

Collaborate with cross-functional teams, including data scientists, domain experts, and software engineers, to understand data requirements and provide the necessary infrastructure and support.
Implement data pipelines that preprocess, clean, and prepare large datasets for various purposes: feeding AI agents and our data science models.
Work with agent communication and tool/data access patterns (e.g. Agent2Agent (A2A), MCP, agent skills, or similar emerging standards). These standards are new for everyone, so we’ll learn them together.
Build data pipelines hosted in Google Cloud with technologies like BigQuery, Apache NiFi, Vertex AI, Firestore (NoSQL database), external APIs and other cloud services.
Develop APIs and MCP servers for model-serving and LLM-powered systems.

Qualifications

Required experience and skills

Hands-on experience in implementing data engineering solutions.
Proficiency in Python, and good knowledge of SQL and data modelling principles.
Strong data manipulation and preprocessing skills, including feature engineering and common storage formats (JSON, Parquet, etc.).
Experience building, orchestrating and monitoring batch data processing applications.
Familiarity with software development best practices, version control systems (Git), and agile methodologies.
Interest in using coding agents like Claude Code and Codex.

We encourage you to apply even if you don't check every single box. If you're excited about this role and your experience doesn't align perfectly, we still want to hear from you.

Nice to Have

Familiarity with Apache NiFi, Kedro, LangChain, TensorFlow and/or PyTorch.
Good understanding of ML/AI concepts and best practices, and of how data supports models in production.
Infrastructure-as-code (Terraform) and containerization (Docker).
Hands-on experience with MLOps/AI platforms, or with machine learning models and algorithms that address complex business challenges.
Experience with big data technologies and distributed computing.
Domain knowledge about the advertising and marketing industries.
Knowledge of Google Cloud and BigQuery (equivalent experience on AWS or Azure is also welcome).
Experience with coding agents.

Soft skills

Strong communication skills.
Creative thinker with excellent problem solving abilities.
Self-motivated, entrepreneurial and detail-oriented; comfortable working independently or as part of a team in an agile environment.

Ingénieur·e en données (Data Engineer)

NOUS SOMMES KLEVER

Faites un pas audacieux dans votre carrière en rejoignant l’équipe de Klever Programmatic, un leader mondial des solutions de publicité programmatique et l’une des entreprises à la croissance la plus rapide en Amérique du Nord.

Klever permet aux annonceurs et aux agences de toutes tailles de diffuser des campagnes sur un large éventail de canaux numériques programmatiques (display, vidéo, CTV, audio programmatique, DOOH, native, mobile…).

La publicité programmatique est un domaine complexe et en forte croissance où une expertise comme celle de Klever est à la fois rare et essentielle.

Sommaire

Joignez-vous à notre équipe de spécialistes en données et en IA pour bâtir l’infrastructure de données qui alimente nos agents IA et les modèles qui prédisent les résultats des campagnes des annonceurs, tous secteurs confondus. Vous concevrez des pipelines sur Google Cloud et donnerez aux agents accès aux données au moyen d’API et de serveurs MCP. Aucune expérience en technologie publicitaire n’est requise : nous vous initierons au domaine.

Ce poste est hybride et basé à notre bureau de Montréal.

Description du poste

Collaborer avec des équipes multidisciplinaires, incluant des scientifiques des données, experts métier et ingénieurs logiciels, afin de comprendre les besoins en données et fournir l’infrastructure et le support nécessaires.
Mettre en place des pipelines de données permettant le prétraitement, le nettoyage et la préparation de grands ensembles de données à différentes fins : alimentation d’agents IA et de nos modèles de science des données.
Travailler avec des modèles de communication entre agents et des schémas d’accès aux outils/données (ex. : Agent2Agent (A2A), MCP, compétences d’agents ou standards émergents similaires). Ces standards sont nouveaux pour tout le monde : nous les apprendrons ensemble.
Construire des pipelines de données hébergés sur Google Cloud à l’aide de technologies telles que BigQuery, Apache NiFi, Vertex AI, Firestore (base de données NoSQL), API externes et autres services cloud.
Développer des API et des serveurs MCP pour des systèmes de mise en service de modèles et des systèmes propulsés par des LLM.

Qualifications

Expérience et compétences techniques requises

Expérience pratique dans la mise en œuvre de solutions d’ingénierie des données.
Maîtrise de Python et bonne connaissance du SQL et des principes de modélisation de données.
Solide maîtrise de la manipulation et du prétraitement des données, incluant l’ingénierie des caractéristiques (feature engineering) et les formats de stockage courants (JSON, Parquet, etc.).
Expérience dans le développement, l’orchestration et la surveillance d’applications de traitement de données par lots.
Familiarité avec les bonnes pratiques de développement logiciel, les systèmes de contrôle de version (Git) et les méthodologies agiles.
Intérêt pour les agents de codage comme Claude Code et Codex.

Nous vous encourageons à postuler même si vous ne remplissez pas tous les critères. Si ce poste vous enthousiasme, mais que votre expérience ne correspond pas parfaitement, nous aimerions quand même recevoir votre candidature.

Atouts

Connaissance d’Apache NiFi, Kedro, LangChain, TensorFlow et/ou PyTorch.
Bonne compréhension des concepts et des meilleures pratiques en ML/IA, ainsi que du rôle des données dans les modèles en production.
Connaissance de l’infrastructure en tant que code (Terraform) et de la conteneurisation (Docker).
Expérience pratique avec des plateformes MLOps/IA, ou avec des modèles et algorithmes d’apprentissage automatique appliqués à des enjeux d’affaires complexes.
Expérience avec les technologies Big Data et le calcul distribué.
Connaissance du domaine de la publicité et du marketing.
Connaissance de Google Cloud et de BigQuery (une expérience équivalente sur AWS ou Azure est aussi la bienvenue).
Expérience avec les agents de codage.

Compétences interpersonnelles

Excellentes aptitudes en communication.
Esprit créatif et fortes capacités de résolution de problèmes.
Autonomie, esprit entrepreneurial et sens du détail; à l’aise pour travailler de manière indépendante comme en équipe, dans un environnement agile.

Apply on LinkedIn About employer

More about this job

Responsibilities

Build and maintain cloud-hosted data pipelines that clean and prepare large datasets for AI agents and data science models. Collaborate with data scientists, domain experts, and software engineers, and develop APIs and MCP servers to provide data access and support model-serving and LLM-powered systems.

Requirements

Candidates need hands-on data engineering experience, proficiency in Python, and a good understanding of SQL, data modeling, data preprocessing, and batch processing. Familiarity with software development practices, Git, and agile methods is expected; experience with cloud, AI/ML, and the listed preferred tools is an advantage.

Skills

Python
SQL
Data Modeling
Data Engineering
Data Preprocessing
Feature Engineering
Batch Processing
Data Pipeline Orchestration
Google Cloud
BigQuery
Apache NiFi
API Development
MCP Servers
Git
Agile Methodologies
Machine Learning

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Python
SQL
Data Modeling
Data Pipelines
Data Preprocessing
Feature Engineering
Batch Processing
Google Cloud
BigQuery
Apache NiFi
Vertex AI
Firestore
APIs
MCP Servers
Agent2Agent (A2A)
AI Agents
Large Language Models (LLMs)
Machine Learning
MLOps
Kedro
LangChain
TensorFlow
PyTorch
Terraform
Docker
Git
Agile Methodologies
Big Data
Distributed Computing

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Work requirements

Jobs in Canada