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Senior Data Engineer Jobs in Quebec (NOW HIRING)

We are seeking a highly analytical and execution-focused Senior Data Scientist to join G+D's new AI ... Work closely with engineering teams to productionize models and analytical pipelines * Ensure ...

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Data Platform Engineer

Montreal, QC · On-site

CA$65 - CA$67/hr

  • PTO

We are looking for a Senior Data Platform Engineer with strong hands-on coding skills and solid experience in modern data engineering. The ideal candidate has experience with Python, Spark, Git ...

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Senior Data Scientist

Montreal, QC · Hybrid

  • Medical

  • Retirement

... programming tools. Your job Develop analytical models to support regulatory oversight of ... other Senior Data Scientists. Our team stands out for its innovation, agility and in-depth ...

Senior Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

A career as a Senior Data Scientist in the Compliance team at National Bank means acting as a ... Modelling and programming expertise (SAS, SAS Viya, SQL, PowerBI) * Excellent analytical and ...

The Senior AI Data Scientist is a senior individual contributor role within Data Science, AI ... Collaborate with AI Scientists, AI Engineers, Analytics Engineers, Data Engineers, and Architects ...

Senior Data Scientist Montréal, Canada The Sr. Data Scientist will conduct detailed analysis of ... Excellent programming skills using notebook environments, e.g. Jupyter, Databricks, and familiarity ...

Senior Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

We are seeking a highly resourceful Senior Data Scientist to join our international AI in Engineering team within Advanced Concepts & Capabilities. This role designs, builds, and deploys AI- and data ...

Senior Data Scientist

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

We are seeking a highly resourceful Senior Data Scientist to join our international AI in Engineering team within Advanced Concepts & Capabilities. This role designs, builds, and deploys AI- and data ...

  • Medical

  • Dental

  • Life

Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ... Collaborate with Data Engineering and MLOps teams on Dockerized deployments, APIs, monitoring, and ...

  • Medical

  • Dental

  • Life

Engineer advanced features including promotions, seasonality, holidays, stockouts, lag variables ... Collaborate with Data Engineering and MLOps teams on Dockerized deployments, APIs, monitoring, and ...

We are seeking a Senior ML Data Processing Developer to participate in the development, curation ... In this role, you will not just manage data; you will engineer its quality. You will design ...

Senior ML Data Platform Developer

Montreal, QC · On-site

  • Medical

  • Retirement

  • PTO

We are seeking a visionary and highly technical Senior ML Data Platform Developer to architect, implement, scale, and maintain the data engine powering our next-generation frontier models. In this ...

Our state-of-the-art data technologies, lean AI agile methodologies, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts are all ...

University degree in Computer Science, Engineering, or a related field. Relevant Experience * Minimum of 5 years of industry experience in development, coding, scripting, and data-oriented design.

Showing results 21-40

Senior Data Engineer information

See Quebec salary details

$77K

$137.9K

$187K

How much do senior data engineer jobs pay per year?

As of Aug 14, 2026, the average yearly pay for senior data engineer in Quebec is $137,866.00, according to ZipRecruiter salary data. Most workers in this role earn between $118,000.00 and $156,000.00 per year, depending on experience, location, and employer.

What is a senior data engineer?

Senior Data Engineers are experienced professionals who design, build, and maintain large-scale data processing systems and infrastructure. They are responsible for developing data pipelines, managing databases, and ensuring the efficient flow and integrity of data across various platforms. Senior Data Engineers often collaborate with data scientists, analysts, and other engineers to support business intelligence and machine learning projects. They also play a key role in implementing best practices for data security, quality, and governance within an organization.

What is the difference between Senior Data Engineer vs Data Scientist?

AspectSenior Data EngineerData Scientist
Required CredentialsBachelor's/Master's in CS, Engineering, or related; experience with data pipelinesBachelor's/Master's in CS, Statistics, or related; proficiency in statistical analysis and modeling
Work EnvironmentBuild and maintain data infrastructure, optimize data workflowsAnalyze data, develop predictive models, generate insights
Employer & Industry UsageTech companies, finance, healthcare, where data engineering is essentialResearch, marketing, tech firms focusing on data analysis and modeling

While both roles work with data, Senior Data Engineers focus on developing and maintaining data infrastructure, whereas Data Scientists analyze data to generate insights and build models. They often collaborate but have distinct skill sets and responsibilities.

What are some common challenges senior data engineers face when integrating data from multiple sources?

Senior Data Engineers often encounter challenges such as inconsistent data formats, varying data quality, and differing update frequencies when integrating data from multiple sources. Addressing these issues requires designing robust ETL (Extract, Transform, Load) pipelines, implementing data validation checks, and collaborating closely with source system owners to ensure data integrity. Effective communication with cross-functional teams and leveraging scalable data integration tools are also essential to streamline the process and minimize errors.

How much do senior data engineers get paid?

Senior data engineers typically earn between $100,000 and $150,000 annually, depending on experience, location, and industry. They often possess skills in SQL, Python, cloud platforms, and data pipeline tools, which can influence compensation levels.

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

To thrive as a Senior Data Engineer, you need strong expertise in data modeling, ETL development, programming (such as Python or Scala), and a degree in computer science or a related field. Proficiency with big data technologies (like Hadoop, Spark), cloud platforms (AWS, Azure, GCP), and database systems, as well as relevant certifications, is highly valuable. Excellent problem-solving, communication, and leadership skills help you collaborate across teams and mentor junior engineers. These skills and qualities ensure robust, scalable data solutions that support organizational decision-making and growth.

What are the most commonly searched types of Data Engineer jobs in Quebec?

The most popular types of Data Engineer jobs in Quebec are:

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

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

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

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

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

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

What are popular job titles related to Senior Data Engineer jobs in QC?

For Senior Data Engineer jobs in QC, the most frequently searched job titles are:

Infographic showing various Senior Data Engineer job openings in Quebec as of August 2026, with employment types broken down into 80% Full Time, and 20% Contract. Highlights an 73% In-person, and 27% Remote job distribution, with an average salary of $137,866 per year, or $66.3 per hour.

Senior Data Engineer - Palantir Foundry (Hybrid, Canada)

Unit8 SA

Montreal, QC • On-site

Full-time

Re-posted 26 days ago


Job description

Unit8, founded in 2017, is a high-tech, dynamic Swiss leader in AI and data analytics consulting, renowned for solving complex challenges in traditional industries such as automotive, chemical, financial services, manufacturing, and pharma. Our esteemed partnerships with industry giants like Palantir, NVIDIA, and OpenAI underscore our commitment to excellence. With over 200 successful projects and a team of 150+ talented professionals across Switzerland, Poland, and Germany, Spain and US we are now expanding our footprint to the Canada.

Unit8 is dedicated to driving AI adoption in non-digital industries, accelerating their digital transformation. We invest in projects that matter, including pro-bono initiatives and "engineering for good" causes.

Requirements

About You

Following our remarkable growth in Switzerland, Poland, Germany and US, Unit8 is expanding into the Canadian market. We are seeking a Senior Data Engineer who will work directly with customers, owning delivery strategy and implementation.

What You'll do

As a core member of our agile project teams, you will be responsible for designing, building, and maintaining robust data solutions and infrastructure. You will work on cutting-edge data and AI topics to solve real-world business problems for our clients.

Your responsibilities will include:

  • Developing, deploying, and troubleshooting complex data pipelines and processing systems using a variety of open-source and closed-source technologies, with a strong focus on Foundry.
  • Driving optimization, testing, and tooling to ensure exceptional data quality.
  • Collaborating with other software engineers, ML experts, and stakeholders in a cross-functional agile environment.
  • Working in multi-functional agile teams to continuously experiment, iterate and deliver on new product objectives.
What You Bring

The Experience

  • Deep Domain Expertise: Minimum 5 years of experience in software/data engineering or data science. You have deep expertise in at least one key domain (Data Engineering, Data Science, Cloud Engineering, or GenAI).
  • Commercial Fluency: proven experience in pre-sales, proposal design, or technical advisory where you influenced executive decision-making.
  • GenAI/LLM Context: For relevant tracks, you have past experience building solutions with LLMs and a deep understanding of the overall GenAI landscape (Evaluation, Training, Problem Decomposition).
  • Nice to have: extensive experience in data-related consulting, working on data strategy, architecture design and implementation of large-scale data solutions following client's requirements

The Mindset

  • You have an engineering mindset focused on delivering working solutions. You prioritize solving real business problems over theoretical perfection or academic benchmarks. You are an impact-driven problem solver eager to dive into complex client challenges, craft solutions, and see the direct impact of your work on their success.
  • You are comfortable working in a dynamic environment with evolving objectives. You can collaborate efficiently with both technical engineers and non-technical business stakeholders up to C-level.
  • You feel a sense of ownership over the company’s technical reputation and are eager to train those coming up behind you.

The Essentials

  • Experience with programming/scripting, such as Python and/or PySpark.
  • Proficiency in Palantir Foundry (nice-to-have)
  • Strong foundation in Computer Science, Mathematics, Physics, or related engineering fields.
  • Willingness to travel (min. 10%) to client sites to drive implementation success and build relationships.
  • A desire to drive thought leadership (LinkedIn, Blogs) and willingness to be a part of opening our Canadian office and expansion of our strategy and brand.
  • Strong client-facing skills: You are comfortable interacting with both business and technical clients, giving presentations, and possess a strong problem-solving mindset.

Location: perfectly you're currently located in Montreal, QC, Canada (or willing to relocate).

Benefits

What we offer?

  • High-Stakes Work: You will work on critical projects that transform how major industries operate.
  • A "Builder" Culture: We are not a slide-deck consultancy. We build things that work. You will be surrounded by engineers and data scientists who share your passion for execution.
  • Pioneering role and autonomy: As a key member of our growth in Canada, you will have the freedom to shape how we deliver value in this new market.
  • Groundbreaking Opportunity: You will play a pivotal role in establishing Unit8's footprint in the Canada, driving the growth and impact of our operations in this emerging market.
  • Final compensation will be determined based on the candidate’s qualifications, experience, and skills.

Unit8 is committed to creating a diverse and inclusive workplace where all individuals are valued and respected. We believe that diversity drives innovation and enhances our ability to serve our clients effectively. As an equal opportunity employer, we welcome applications from all qualified individuals regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other legally protected status. We are dedicated to fostering an environment where everyone can thrive and contribute to our mission.

We look forward to hearing from you!