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Data Engineer Project Jobs in Quebec (NOW HIRING)

Data Engineer

Montreal, QC ยท On-site +1

CA$80 - CA$85/hr

We currently have a role as a Data Engineer with our large consulting client on a long term project with a major manufacturing client in the Montreal area. Role: Data Engineer Type: Contract 37.5 ...

Oversee technological choices and implementation patterns for data engineering teams (partitioning ... Proven experience in large-scale cloud environments, preferably on Azure and, ideally, projects ...

... data engineers, and digital experts are all dedicated to bringing extra value to every client. We ... Conducting projects to accompany the transformation of your clients' businesses through the ...

We're seeking a talented Data Platform Developer to join our Platform Engineering team and ... Newforma manages billions of emails, documents, RFIs, submittals, drawings, and project files for ...

We're seeking a talented Data Platform Developer to join our Platform Engineering team and ... Newforma manages billions of emails, documents, RFIs, submittals, drawings, and project files for ...

We're seeking a talented Data Platform Developer to join our Platform Engineering team and ... Newforma manages billions of emails, documents, RFIs, submittals, drawings, and project files for ...

Senior Data Developer Who We Are 2K is headquartered in Novato, California and is a wholly owned ... You will centralize fragmented studio data, including project roadmaps, telemetry, feature backlogs ...

Have relevant experience in programming or developing data solutions (including academic or personal projects) * Master the basics of programming, including Python and SQL * Demonstrate the ability ...

Join us as Bogie Project Engineer Manager, and you'll be looking at a career-defining role based in ... Ensures the provision, in due time, of the whole input data and of all the data that can have an ...

Join us as Bogie Project Engineer Manager, and you'll be looking at a career-defining role based in ... Ensures the provision, in due time, of the whole input data and of all the data that can have an ...

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Data Engineer Project information

What is a data engineer project?

A Data Engineer Project refers to a specific initiative or assignment undertaken by data engineers to design, build, and maintain systems that gather, process, and store large volumes of data. These projects often involve creating data pipelines, integrating multiple data sources, ensuring data quality, and optimizing storage solutions for analytics or business intelligence. Such projects are critical for organizations to manage their data efficiently and enable data-driven decision-making. Data Engineer Projects can range from building a data warehouse to implementing real-time data streaming solutions.

What are some common challenges faced by data engineers working on project-based teams?

Data Engineers on project-based teams often encounter challenges such as integrating data from disparate sources, ensuring data quality and consistency, and meeting tight project deadlines. Collaboration with data scientists, analysts, and software engineers is crucial, requiring clear communication to translate business needs into robust data pipelines. Additionally, adapting to evolving technologies and toolsets is essential for the successful delivery of scalable and maintainable solutions.

What is the difference between Data Engineer Project vs Data Engineer?

AspectData Engineer ProjectData Engineer
CredentialsTypically requires a degree in Computer Science, Data Science, or related fields; certifications like AWS, Google Cloud, or Azure are commonSimilar credentials; often holds certifications in cloud platforms and data tools
Work EnvironmentProject-based, often temporary teams working on specific data solutionsFull-time role within organizations, maintaining ongoing data pipelines and infrastructure
Industry UsageUsed across industries for specific data initiativesCore role in data-driven companies and departments
Search & Comparison IntentOften searched for project-based roles or freelance opportunitiesMore common in job searches for permanent positions

In summary, Data Engineer Projects focus on temporary, goal-specific data tasks, while Data Engineers hold ongoing roles responsible for maintaining data infrastructure. Both roles require similar skills and certifications but differ mainly in scope and employment type.

What are the key skills and qualifications needed to thrive as a data engineer, and why are they important?

To thrive as a Data Engineer, you need strong proficiency in programming (Python, Java, or Scala), data modeling, and database management, often supported by a degree in computer science or a related field. Familiarity with big data tools (like Hadoop, Spark), ETL systems, cloud platforms (AWS, Azure, GCP), and relevant certifications is highly beneficial. Analytical thinking, problem-solving, and effective communication are crucial soft skills for collaborating with data teams and stakeholders. These competencies are essential for building reliable data pipelines and ensuring data availability and quality to drive business insights.

What are popular job titles related to Data Engineer Project jobs in Quebec?

For Data Engineer Project jobs in Quebec, the most frequently searched job titles are:

What job categories do people searching Data Engineer Project jobs in Quebec look for?

The top searched job categories for Data Engineer Project jobs in Quebec are:

What cities in Quebec are hiring for Data Engineer Project jobs?

Cities in Quebec with the most Data Engineer Project job openings:

Infographic showing various Data Engineer Project job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 86% Full Time, 10% Part Time, and 3% Contract. Highlights an 86% Physical, 4% Hybrid, and 10% Remote job distribution.

Data Engineer

Tech Talent International

Montreal, QC โ€ข On-site, Remote

CA$80 - CA$85/hr

Full-time

Re-posted 13 hours ago


Job description

Tech Talent International (SI) supplies technical talent to a variety of clients ranging from Fortune 100/500/1000 companies to small and mid-sized organizations in Canada/US and Europe.

We currently have a role as a Data Engineer with our large consulting client on a long term project with a major manufacturing client in the Montreal area.

Role: Data Engineer

Type: Contract 37.5 hrs/week

Location: Montreal area, but can be remote

Duration: 6 months initially until fiscal year end, then 6-12 month extension

Rate: $80-85/hr C2C

Position Overview

Our client is looking for a Data Engineer to join our team and bring the analytics practice to the next level. They are looking for a motivated person who thrives in a dynamic and challenging environment, who loves working with tools on the edge, who has no problem switching between multiple programming languages, and who is able to find out-of-the-box solutions to solve complex problems.

In this role, you will be at the heart of the definition and implementation of world-class analytics solutions, and you will contribute to set data as a strategic advantage for the manufacturing client.

Responsibilities

Design, develop, implement and support robust ETL/ELT/Data Pipelining solutions

Coordinate with multiple development teams to achieve delivery objectives

Provide support in requirements definition, estimation, development and delivery of robust and scalable solutions

Development and support of real-time data ingestion processes from various data sources

Development and support of data models optimized for business intelligence usage

Build integrations with APIs from external providers such as Google, Facebook, Salesforce, SAP and others

Adhering to industry standards and laws such as GDPR and SOX

Be a leader in best-practices definition and creative thinking

Required Skills

Master Degree in Computer Science, Business Intelligence or equivalent

Solid and demonstrated experience on following technologies:

Snowflake

DBT

Microsoft SQL Server

Power BI

Git

Fluent in various programming languages such as:

SQL

Python

Understands and puts into practice data modeling, design and development of solid ETL/ELT data pipelines

Fluent in writing, executing and optimizing complex SQL queries

Experience implementing API Service architectures ( REST)

Develop clean and maintainable code in a CI-CD Environment

Experience in using cloud BI technologies such as Azure or similar

Experience in translating business requirements into advanced data models able to fulfill analysts and data scientists requirements

Experience in data profiling

Experience in working within an agile team to build big data / analytics solutions

Strong interpersonal relations, motivated and loves to work on multiple challenging projects

Strong communication skills, both speaking or writing

Fluent in English. French or Portuguese is a great asset

Open-minded and able to adapt to new ways of working (data vault, event-driven architecture, unstructured data, self-service analytics, etc..)

Well organized and able to self-prioritize, sometimes with conflictual deadlines

Strong communication skills, both speaking or writing, ideally in both french and english

Continuously seeks for improvements and craves to put hands on new technologies