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Added 3 months ago
IT
Senior Data Scientist (Applied AI & Analytics)
International Test Pilots School
London, ON
- Full-time
Strong proficiency in Python (pandas, NumPy, scikit-learn or similar libraries)
Added 3 months ago
JO
Business Systems Manager
Jetstream of Houston
Innisfil, ON
- Full-time
Strong hands‑on software development experience with JavaScript, Python, Apache Spark, RESTful APIs, or comparable technologies.
Added 3 months ago
D
Forward Deployed Engineering Lead
Doppel
Remote, Canada
- $120,000 to $220,000 CAD / year
- Full-time
- Remote
6+ years of software engineering experience building production applications (Python preferred), including 2+ years in a forward deployed, solutions engineering, or customer-facing…
Added 3 months ago
P
Senior Analytics Engineer
Passage
Toronto, ON
- Full-time
Have operated an orchestrator (Airflow or similar) and are comfortable in Python.
Added 3 months ago
BC
Sr. Software Engineer (AI/ML)
Blackpoint Cyber
Remote, Canada
- $150,000 to $180,000 CAD / year
- Full-time
- Remote
Lead and drive back-end projects across the stack, including Python and Node.js/Go services hosted on Kubernetes, owning delivery end-to-end.
Added 2 months ago
Software Engineer, Wallet
Robinhood
Toronto, ON
As a Software Developer, you will build and own the backend services, infrastructure, and data systems that support Robinhood Wallet products. You will develop new features and system…
Added 2 months ago
Staff Consultant - Risk Consulting - FRSM - Ai Risk
EY
Toronto, ON · Montreal, QC
Strong programming languages including Python
Added 3 months ago
Digital Architect
Government of Alberta
Edmonton, AB
Experience delivering digital services in agile, product-oriented environments and familiarity with languages such as Python, Java, .NET, or Node.js.
Added 3 months ago
RA
Software Engineer II, Vehicle Data Services
Rivian and Volkswagen Group Technologies
Remote, Canada
- $77,400 to $102,620 CAD / year
- Full-time
- Remote
You will write production Go and Python, work with document databases and columnar analytical stores, build and consume gRPC and REST APIs, and operate services that run continuously…
Added 2 months ago
Data Engineer
Capgemini
Mississauga, ON
Expert level programming skills in Python and Pyspark specifically for developing Spark applications
Added 3 months ago
Senior Data Engineer
Talents LGS
Montreal, QC
Added 3 months ago
P
Credit Risk Modelling Senior Associate (Bilingual FR/EN)
PwC
Montreal, QC
- Full-time
Significant experience and proven ability in at least one of the following programming languages/softwares: Python, R, SQL, SAS, C++, etc.
Added 2 months ago
PC
Spécialiste DevOps / DevOps Specialist
Portage CyberTech
Gatineau, QC
- Full-time
Langages de script et d’automatisation tels que Python, Bash, PowerShell ou équivalents.
Added 3 months ago
G
Software Engineer, Full Stack
Gigi
Toronto, ON
- Full-time
…interface a media buyer actually touches. Our stack includes Python, FastAPI, LangGraph and LangChain; TypeScript, Vue and Nuxt; Java and Spring Boot; PostgreSQL, pgvector, Redis and NATS;…
Added 3 months ago
QUALITY ASSURANCE AUTOMATION TESTER - HYBRID
Green Shield Canada
Toronto, ON · Windsor, ON
Fundamental Knowledge of Programming/ Scripting Languages like Python, PowerShell and Java Script or Successful completion of approved course
Added 3 months ago
MH
Senior Full-Stack Automation Engineer - Gravity
MedMe Health
Remote, Canada
- $115,000 to $176,000 CAD / year
- Full-time
- Remote
Core Tech Stack: Expert-level proficiency in Python and Node.js.
Added 3 months ago
L
Principal Digital (mixed-signal) Architect
Lightmatter
Toronto, Ontario
- Full-time
Power user of multiple development tools, including CAD tools, SPICE simulators, IBIS-AMI simulators, and general programming languages (e.g., MATLAB or Python).
Added 3 months ago
FH
Senior Software Engineer - Fullstack
Function Health
Canada
- Full-time
As a Senior Full Stack Developer on the imaging team, you will be a technical leader who architects, builds, and scales the web platforms that power our cancer‑screening experience. You’ll…
Added 3 months ago
R
Python Automation Developer, Network Security
RAVL
Toronto, Ontario
- Full-time
We're looking for a Senior Full Stack Developer to join our team on a short-term contract engagement. In this role, you'll build automation solutions that improve operational efficiency,…
Added 4 months ago
KC
Manager, GRC
KPMG Canada
Toronto, Ontario
- Full-time
Technical skills Java, JavaScript; REST/SOAP, JSON/XML; Python/PowerShell; SQL.
Added 3 months ago
CF
Director, Business Analytics and Insights
CI Financial
Toronto, ON
- Full-time
Proficiency in data visualization tools (e.g., Tableau, Power BI), statistical software (e.g., Python), and CRM platforms (e.g., Salesforce); with a strong working knowledge and…
Added 3 months ago
F
Data Engineer
Financeit
Remote, Canada
- Full-time
- Remote
Python proficiency for pipeline development, data transformation, and scripting automation tasks
Added 3 months ago
C/
BA and QA Tester (12 month contract)
CIRO / OCRI
Toronto, ON
- Full-time
Basic programming knowledge with familiarity in Python
Added 3 months ago
CI
Manager, Delivery Data Science
Curinos Inc
Toronto, ON
- Full-time
Added 2 months ago
Senior Full-Stack Developer (Python/React) - Onboarding Team
AlayaCare
Montreal, QC
We are seeking a Senior Developer to join one of our product team. Reporting to the Associate Director of Engineering, the team is dedicated to product development and the ongoing…

Talents LGS

Senior Data Engineer

Montreal, QC, Canada

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Job details

Experience: 5 to 10 years of experience in data engineering.
Posting language: English
Posted: Aug 6, 2026

Original job description

At IBM Consulting FutureNow, we unite human expertise and artificial intelligence to deliver client results with certainty, speed, and value. Fueled by LGS, with offices in Montreal and Quebec City, we combine the strength of the IBM network with the proximity of a Quebec-based company.

Our professionals work in specialized teams on high-impact projects, offering both on-site and remote services. Regardless of your level of experience, you will be paired with a coach to accelerate your professional development in an environment where we build the future, now.

The benefits of joining our team:

For continuous learning: access to IBM's intellectual capital and training on a multitude of cutting-edge technologies.

For your well-being: a comprehensive group insurance package including telemedicine services, a retirement savings plan with employer contribution, IBM shares at a reduced rate, supplementary parental leave benefits and a wellness allowance!

To enjoy more of life: annual vacation, company holidays, and time-off for life events.

As part of the growth of our Hybrid Cloud & Data practice (AI, Analytics & Data Services), we are looking for a Senior Data Engineer – Hybrid Cloud & Data to participate in the design, development, and evolution of modern data platforms for our clients.

The successful candidate plays a key role in transforming data into strategic assets by collaborating with Data & AI architects, solution architects, BI analysts, and development teams.

This role combines data engineering, data modeling, pipeline development, data integration, optimization of analytics platforms, and contribution to Data and AI modernization initiatives.

The ideal candidate has strong technical expertise and a proven ability to design robust, scalable data solutions tailored to business needs.

Here’s how you will be involved:

Design, develop, and maintain robust and scalable data pipelines.

Develop data ingestion, transformation, and integration solutions.

Implement and optimize ETL/ELT processes.

Participate in the design and evolution of modern Data platforms on Azure.

Design and optimize data models for analytics and AI needs.

Ensure the quality, performance, performance, and reliability of data processing.

Collaborate with architects, BI analysts, developers, and AI teams.

Participate with architects, BI analysts, and AI teams.

Participate with architects, BI analysts, developers, and AI teams.

Contribute to deployment automation and continuous improvement of Data practices.

Your Experience

5 to 10 years of experience in data engineering.

Bachelor’s degree in computer science, software engineering, data science, or a related field, or equivalent training combined with relevant experience.

Significant experience developing modern Data solutions and Cloud Data platforms.

Good understanding of Data Warehouse, Data Lake/Lakehouse, and Data Integration concepts.

Proven experience in data modeling and pipeline development.

Experience in large-scale analytics and AI environments.

Experience in large-scale analytics and AI environments.

Experience in consulting or professional services (an asset).

Required Technologies and Expertise

Required:

Advanced SQL expertise.

Experience with Python

Experience with Python and ETL/ELT.

Experience with the following Azure services:

Azure Data Factory

Azure Databricks

Azure Data Lake Storage

Azure Synapse Analytics

Assets:

PySpark

Apache Spark

Delta Lake

Microsoft Fabric

Snowflake

Azure DevOps, Git, and CI/CD

Infrastructure as Code

Power BI

Having obtained one or more certifications such as:

Microsoft Certified: Azure Data Engineer Associate

Microsoft Certified: Fabric Analytics Engineer Associate

Any relevant Azure or Data certification

You stand out through:

Strong analytical and problem-solving skills.

Autonomy and sense of responsibility.

Collaborative mindset and strong communication skills.

Collaborative mindset and strong communication skills.

Technological curiosity and willingness to continuously learn.

Bilingualism in French and English required to collaborate with teams outside Quebec.

Why Join Our Team

You will participate in strategic data modernization projects for large organizations and contribute to building next-generation Hybrid Cloud, Data, and AI platforms.

You will grow within a practice where innovation, technical excellence, and professional development are at the core of our achievements, with opportunities to work on modern Azure, Analytics, and AI technologies.

#CICJOBS #IBMJOB

The use of the masculine gender is done solely for the purpose of simplifying reading and research, and does not aim at any form of discrimination. LGS values diversity and inclusion and this wording has no discriminatory intent.

Be Yourself at LGS

LGS is committed to considering all qualified candidates without regard to ethnicity, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, pregnancy, disability, neurodiversity, age, veteran status, or other characteristics.

This role may involve working with one or more technologies covered by export regulation sanctions. If you are not a Canadian permanent resident or Canadian citizen, please inquire with your talent acquisition advisor.

AP-2001094

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More about this job

Responsibilities

The Senior Data Engineer will design, develop, and maintain scalable data pipelines and modern data platforms on Azure. They will collaborate with architects and AI teams to transform data into strategic assets through advanced data modeling and integration.

Requirements

Candidates must have 5 to 10 years of experience in data engineering and a bachelor's degree in a relevant field. Strong technical expertise in SQL, Python, and Azure data services is required, along with a collaborative mindset.

Skills

SQL
Python
Azure Data Factory
Azure Databricks
Azure Data Lake Storage
Azure Synapse Analytics
Data modeling
ETL/ELT
Data pipeline development
Data integration
PySpark
Apache Spark
Delta Lake
Microsoft Fabric
Snowflake
CI/CD

Benefits

Group insurance package
Telemedicine services
Retirement savings plan
Employer contribution
IBM shares at a reduced rate
Wellness allowance
Annual vacation
Company holidays
Time-off for life events
Continuous learning access

Visa sponsorship

Not detected in the job text

Keywords

Data Engineering
Hybrid Cloud
Azure
SQL
Python
ETL
ELT
Data Modeling
Data Warehouse
Data Lake
Lakehouse
Azure Data Factory
Azure Databricks
Azure Synapse Analytics
PySpark
Apache Spark
Delta Lake
Microsoft Fabric
Snowflake
Azure DevOps
Git
CI/CD
Infrastructure as Code
Power BI
Analytics
Artificial Intelligence
Data Integration
Consulting
Cloud Data Platforms
Modernization

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