Jobs in Repentigny, QC and nearby (25,774 jobs)

Jobs within 25 km of Repentigny, QC, Canada. Nearby towns and cities are included. Distances are straight-line, not driving distances.

25,774 listings · 3,440 employers Counted Nov 9, 2026. How we count

About these jobs

Employers hiring include RI-MUHC | Research Institute of the MUHC | #rimuhc (1,378 listings), Desjardins (612 listings), Loblaw Companies Limited (593 listings).

Common roles: Project manager, Software developer, Sales representative.

1,820 of these listings include employer-provided pay. Open a job to see its currency and pay period.

Advertised starting pay
Pay period	Median starting pay	Listings
CAD / year	80,000.00	934
CAD / hour	35.00	857

Employer-listed minimums from at least 10 listings per currency and pay period. These are advertised starting amounts, not employee salaries. Jobs without a minimum and unusual amounts are excluded.

Workplace classifications: 0% remote, 37% hybrid, 63% on-site, 0% not specified. Hybrid and on-site classifications may be inferred from descriptions. Check the original ad.

Based on the dated count above. Listings can change. How we count

Jobs in Repentigny, QC and nearby

Within 25 km

Email me new jobs Save this search

Added 3 days ago
A
Director, International Business Transformation & Strategy Execution (flexible location)
ABB
Montreal, QC
- Full-time
Added 3 days ago
KG
Technical Business Analyst
K&K Global Talent Solutions INC.
Montreal, QC
- Full-time
Added 3 days ago
R|
Accounts Receivable Analyst
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Added 3 days ago
CC
Management Trainee
Cintas Canada
Boucherville, QC
- Full-time
Added 3 days ago
R
Sales Associate
RONA
Montreal, QC
- Full-time
Added 3 days ago
ST
Talent Acquisition Specialist
SEGULA Technologies
Montreal, QC
- Full-time
Added 3 days ago
UM
Game Economy Designer
Ubisoft Montréal
Montreal, QC
- Full-time
Added 3 days ago
R|
Respiratory Therapist
RI-MUHC | Research Institute of the MUHC | #rimuhc
Montreal, QC
- Full-time
Added 3 days ago
SD
Marchandiseur(seuse), rémunéré(e) à l’heure – PHX temps partiel Quarts de travail flexibles
Shoppers Drug Mart
Montreal, QC
- Part-time
Added 3 days ago
SD
Caissier(ère), rémunéré(e) à l’heure – PHX temps partiel Quarts de travail flexibles
Shoppers Drug Mart
Montreal, QC
- Part-time
Added 3 days ago
SD
Caissier(ère), rémunéré(e) à l’heure – PHX temps plein Quarts de travail flexibles
Shoppers Drug Mart
Montreal, QC
- Full-time
Added 3 days ago
W
Associé de nuit
Walmart
Montreal, QC
- Part-time
Added 3 days ago
IF
Conseiller(ère) en souscription, Courtage
iA Financial Group
Montreal, QC
- Full-time
Added 3 days ago
IF
Technicien(ne) aux Comptes en fiducie (Temporaire 3 mois)
iA Financial Group
Montreal, QC
- Full-time
Added 3 days ago
T
Applied Machine Learning Scientist I
TD
Montreal, QC
- Full-time
Added 3 days ago
D
Wealth Management Advisor
Desjardins
Montreal, QC
- Full-time
Added 3 days ago
D
Technician, Legal and regulatory compliance
Desjardins
Montreal, QC
- Full-time
Added 3 days ago
D
Senior Threat Modelling Advisor
Desjardins
Montreal, QC
- Full-time
Added 3 days ago
D
Practice Leader, Management support and expertise support
Desjardins
Montreal, QC
- Full-time
Added 3 days ago
B
Cash Management Specialist, Private Wealth
BMO
Montreal, QC
- Full-time
Added 3 days ago
ES
Chargé(e) de projets
Enero Solutions
Montreal, QC
- Full-time
Added 3 days ago
BC
Engineering Controller - EPCM
BBA Consultants
Montreal, QC
- Full-time
Added 3 days ago
C
Senior Data Analytics Developer
Coveo
Montreal, QC
- Full-time
Added 3 days ago
5
Senior Facility Engineer – Program Lead
5C
Montreal, QC
- Full-time
Added 3 days ago
5
Senior Facility Engineer – Electrical
5C
Montreal, QC
- Full-time

Coveo

Senior Data Analytics Developer

Montreal, QC, Canada

Full-time

Apply About employer

Applications open in a new tab.

Job details

Job type: Full-time
Apply by: May 5, 2027
Experience: You have 5 years of experience in a similar role, with expertise in building data pipelines, data models, and analytics for large-scale distributed systems.
Posting language: English
Posted: Nov 6, 2026

Original job description

Build the data foundation powering Coveo's next generation of product innovation.

Are you passionate about building the data foundations that power innovative products? As a Senior Data Developer, you’ll help build and scale the data platform behind Coveo’s product. You’ll design the core data models and shared datasets that power product reporting, customer-facing insights, machine learning, and AI agents.

You’ll also strengthen data quality and pipeline reliability, working with dbt, Snowflake, Databricks, and Python to process hundreds of millions of events daily. Your work will directly support the development of data-driven product features, helping our teams turn complex data into meaningful product improvements.

Here is a glimpse of your responsibilities:

Work with product engineering to turn questions about how users interact with Coveo into well-defined data models.
Build and maintain pipelines that process hundreds of millions of events a day, with tests and monitoring to keep them reliable.
Design batch and streaming transformations, from incremental dbt models in Snowflake to PySpark Structured Streaming jobs in Databricks, and choose the right one for each use case based on latency, cost and data volume.
Take ownership of complex data engineering initiatives, proactively improving data reliability, performance and maintainability while sharing your expertise with teammates
Build AI agents that query our data models directly, and improve their answers by refining the models and definitions they rely on.

Here is what will qualify you for the role:

You have 5 years of experience in a similar role, with expertise in building data pipelines, data models, and analytics for large-scale distributed systems.
You possess a strong engineering background, with hands-on experience in Python, dbt, Snowflake and Databricks.
You have in-depth knowledge of SQL, ETL processes, data warehousing, and Data Lake architecture.
You have experience with automated testing frameworks and a commitment to code quality, including unit testing, integration testing, and code coverage metrics.
You excel at working collaboratively with cross-functional teams and possess exceptional written and verbal communication skills on both technical and non-technical subjects.
You have experience with cloud providers, ideally AWS.

What would make you stand out:

Experience with PySpark and structured streaming, particularly in a product development environment.
Experience with orchestrating complex workflows using tools such as Airflow, Dagster or Prefect.
Familiarity with infrastructure as code and with CI/CD tools such as Jenkins, Github Actions, etc to automate testing, deployment, and integration processes.
Hands-on experience with containerizing applications and managing them at scale using orchestration platforms.

Do you think you can bring this role to life? Send us your application, we want to hear from you!

Join the Coveolife!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.

Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.

Apply About employer

More about this job

Responsibilities

Design and maintain scalable data models and reliable batch and streaming pipelines that process hundreds of millions of events daily, using tools such as dbt, Snowflake, Databricks, and Python. Partner with product engineering to support reporting, customer insights, machine learning, and AI agents while improving data quality, performance, and maintainability.

Requirements

Requires five years of relevant experience building data pipelines, models, and analytics for large-scale distributed systems, with hands-on expertise in Python, dbt, Snowflake, Databricks, SQL, ETL, and data warehousing. Candidates should also have experience with automated testing, cloud providers (ideally AWS), and cross-functional communication; PySpark streaming, workflow orchestration, infrastructure as code, CI/CD, and container orchestration are additional assets.

Skills

Data Engineering
Data Modeling
Python
SQL
dbt
Snowflake
Databricks
PySpark
Structured Streaming
ETL
Data Warehousing
Data Lake Architecture
Automated Testing
AWS
Workflow Orchestration
Infrastructure as Code

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Data Analytics
Data Platform
Data Models
Shared Datasets
Data Pipelines
Data Quality
Pipeline Reliability
Python
SQL
dbt
Snowflake
Databricks
PySpark
Structured Streaming
Batch Processing
Streaming Transformations
ETL
Data Warehousing
Data Lake Architecture
Automated Testing
Unit Testing
Integration Testing
Code Coverage
AWS
Airflow
Dagster
Prefect
Infrastructure as Code
CI/CD

Report this job