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Added 11 mins ago
Airframe Design Repair Engineer (In-service)
Capgemini
Montreal, QC
Proposer des solutions de réparation conformes aux réglementations sectorielles et aux exigences des clients.
Added 12 mins ago
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Senior Advisor Analytics
Manpower
Calgary, AB
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Industry-recognized certifications in cloud analytics or applied analytics are an asset (e.g., Databricks Data Engineer, Microsoft Azure Data Engineer, Certified Analytics Professional).
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Applied AI Engineer
Luxoft
Canada
- Full-time
Our client is an energy solutions provider. Our AI-enabled platform supports operations, tracking and decision-making to optimize large-scale renewable and traditional energy portfolios.…
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- Full-time
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Lead Software Engineer (Bilingual, Montreal)
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Montreal, QC
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Salesforce Developer
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- $100,000 to $125,000 CAD / year
- Full-time
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Senior Integration Engineer (Boomi/Workato)
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We are seeking a Senior Forward Deployed Engineer with strong expertise in Python, PySpark, data engineering, AI application development, and cloud platforms. The candidate will work…
Added 1 hour ago
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Associate Applications Engineer
Semtech
Burlington, ON · CAN - Burlington, ON
- Full-time
The Applications Engineer supports our data communications business in delivering high quality, customer-focused solutions. The successful candidate will work alongside senior team members…
Added 1 hour ago
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Sr. Angular Front End Engineer - Azure DevOps/Banking
BeachHead
Toronto, ON
- Contract
Working with one of our top financial clients, this role calls for a Sr. Angular Front End Engineer- Azure DevOps/Banking to lead DevOps engineering across Azure DevOps and GitHub…
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Data AI Engineer
Zodiac Solutions, Inc
Mississauga, ON
- Full-time
Good understanding of SQL and data processing.
Added 1 hour ago
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Sr. SDET Engineer
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Full-Stack Software Engineer - React
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Toronto, ON · Waterloo, ON
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We’re looking for an experienced Full Stack Software Engineer who enjoys working across the technology stack and turning ideas into modern, scalable digital solutions.
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BI Engineer
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Toronto, ON · Four Seasons Corporate Headquarters Toronto
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Added 2 hours ago
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MONTREAL [hybrid] - MLOps Engineer
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Montreal, QC · Greater Montreal Metropolitan Area
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We are looking for an MLOps Engineer for one of our clients, an investment bank set in Montreal
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AI Engineer
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Agentic AI, RAG, LangChain/LangGraph, or Talk-to-Data solutions.
Added 2 hours ago
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Artificial Intelligence Engineer
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Mississauga, ON
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Added 2 hours ago
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GenAI Prompt Engineer
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Montreal, QC
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Added 2 hours ago
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Sr. Software Engineer-MANO
Aarorn Technologies Inc
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- $50 CAD / hour
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Maintain and enhance existing data integration solutions to improve performance and reliability.
Added 2 hours ago
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Hunter Bond

Data Engineer - Up to $200k CAD + Bonus

Montreal, QC, Canada

Full-time

Apply About employer

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Job details

Job type: Full-time
Apply by: Nov 26, 2026
Experience: 5 years of experience in data engineering or database development roles
Posting language: English
Posted: Oct 27, 2026

Original job description

Title: Senior Data Engineer

Client: Fintech

Salary: Up to $200k CAD + Bonus

Location: Montreal/Hybrid

About the Client:

We are partnering with an innovative, fast-growing technology company operating at the forefront of data, cloud, and machine learning. The team builds scalable, data-driven platforms that support advanced analytics and AI-powered applications across industries including fintech, healthcare, and digital services.

Their mission is to turn complex data into actionable intelligence through robust engineering, modern cloud infrastructure, and cutting-edge machine learning techniques. This is a fantastic opportunity for a data-focused engineer who enjoys building systems from the ground up and working across both data engineering and ML workflows in a high-impact environment.

The Role:

We are looking for a Data Engineer / Database Developer (2–5 years’ experience) to join a growing data team. You will be responsible for designing, building, and optimising scalable database systems, primarily within a cloud-based Azure environment, while also contributing to machine learning modelling and data pipeline development in Python.

This role is ideal for someone who enjoys owning the full data lifecycle - from database architecture and performance tuning to enabling advanced analytics and ML use cases. You’ll collaborate closely with engineers, data scientists, and stakeholders to deliver high-quality, efficient, and scalable data solutions.

Key Responsibilities:

Design and build SQL databases from scratch, ensuring scalability, reliability, and performance
Optimise and maintain existing database systems, improving query performance and efficiency
Architect, implement, and manage cloud-based databases and data solutions in Azure
Develop and maintain data pipelines to support analytics and machine learning workloads
Collaborate with data scientists to prepare and structure data for ML modelling
Contribute to Python-based machine learning models and data processing workflows
Ensure best practices in data governance, security, and integrity
Work closely with cross-functional teams to understand data requirements and deliver solutions

Skills & Experience:

5 years of experience in data engineering or database development roles
Strong experience working with Python
Strong expertise in SQL and relational database design (e.g. schema design, indexing, optimisation)
Experience building and managing databases from the ground up
Hands-on experience with Microsoft Azure data services (e.g. Azure SQL, Data Factory, Synapse or similar)
Solid understanding of data modelling, ETL processes, and data architecture principles
Experience with performance tuning and query optimisation
Strong problem-solving skills and attention to detail

Nice to Have (Not Required):

Experience with big data tools or distributed data systems
Familiarity with ML frameworks (e.g. scikit-learn, TensorFlow, PyTorch)
Knowledge of data warehousing concepts and modern data stack tools
Exposure to DevOps practices, CI/CD, or infrastructure-as-code
Experience working in fast-paced or startup environments

Benefits:

Comprehensive Health & Wellness Package, including mental health support
Tech Upgrade Stipend for your home setup
Learning & Development Budget for courses, certifications, and conferences
Quarterly Innovation Days to explore new ideas and technologies
Adventure Days - one paid day per quarter to do something you love
Gym access, wellness initiatives, and encouraged mental health days
Flexible working options and a collaborative, growth-focused environment

Apply About employer

More about this job

Responsibilities

Design, build, and optimize scalable SQL databases and cloud-based data solutions in Azure, while developing and maintaining pipelines for analytics and machine learning workloads. Collaborate with data scientists and cross-functional teams to prepare data, contribute to Python-based modeling and processing, and uphold data governance, security, and integrity.

Requirements

The role requires around five years of experience in data engineering or database development, strong Python and SQL skills, and hands-on experience designing databases and using Microsoft Azure data services. Candidates should understand data modeling, ETL, data architecture, performance tuning, and query optimization; experience with big data, ML frameworks, data warehousing, or DevOps is an advantage.

Skills

Python
SQL
Relational Database Design
Microsoft Azure
Azure SQL
Azure Data Factory
Azure Synapse
Data Engineering
Database Development
Data Modeling
ETL
Data Architecture
Performance Tuning
Query Optimization
Data Pipelines
Machine Learning

Benefits

Health And Wellness Package
Mental Health Support
Home Setup Technology Stipend
Learning And Development Budget
Quarterly Innovation Days
Quarterly Paid Adventure Day
Gym Access
Wellness Initiatives
Flexible Working Options

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Database Development
Python
SQL
Microsoft Azure
Azure SQL
Azure Data Factory
Azure Synapse
Relational Databases
Schema Design
Indexing
Database Optimization
Data Modeling
ETL
Data Architecture
Data Pipelines
Machine Learning
Scikit-Learn
TensorFlow
PyTorch
Big Data
Distributed Data Systems
Data Warehousing
Data Governance
Data Security
Performance Tuning
Query Optimization
DevOps
CI/CD
Infrastructure As Code

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