ZipRecruiter

Log In

1

Director Data Engineer Jobs in Quebec (NOW HIRING)

Xsolla

Lead AI/ML Engineer

Montreal, QC

CA$130K - CA$160K/yr

Collaborate with the Director of Data Platforms and product stakeholders to translate business ... Experience managing small data engineering teams and setting technical direction * Strong ownership ...

Nord Quantique

CA$114K - CA$127K/yr

Director of Operations Subordinate : None Our current needs As Nord Quantique continues to grow ... The team works at the intersection of engineering and operations, ensuring that processes are ...

Autodesk

Principal Data Scientist

Montreal, QC

This role brings data science into day-to-day product engineering, from instrumentation and ... This role reports to the Director, Experience Design, IGS Visualization Solutions. Responsibilities

TailorCare

Data Platform Architect

Montreal, QC · Hybrid

Translate architecture into staffed delivery with each engineering team; collaborate with clinical ... Direct experience with patient identity resolution (deterministic + probabilistic) and tokenization ...

BFL Canada

Business Intelligence Engineer

Montreal, QC · Hybrid

As a Business Intelligence Engineer, you will work with a dedicated team whose goal is to leverage ... Intellectually curious, self-directed, and genuinely motivated by turning messy data into clear ...

BFL Canada

Business Intelligence Engineer

Montreal, QC · Hybrid

As a Business Intelligence Engineer, you will work with a dedicated team whose goal is to leverage ... Intellectually curious, self-directed, and genuinely motivated by turning messy data into clear ...

National Bank

Data Scientist

Montreal, QC · Hybrid

You report to the Director - Analytics - Credit Risk Models. Our team stands out for its diverse ... Strong programming and data manipulation skills using SQL and SAS * Strong written communication ...

National Bank

Data Scientist

Montreal, QC · Hybrid

You report to the Director - Analytics - Credit Risk Models. Our team stands out for its diverse ... Strong programming and data manipulation skills using SQL and SAS * Strong written communication ...

National Bank

Data Scientist

Montreal, QC · Hybrid

You report to the Director - Analytics - Credit Risk Models. Our team stands out for its diverse ... IFRS 9 or Basel Accords Strong programming and data manipulation skills using SQL and SAS Strong ...

Valnet Inc.

Valnet | Data Scientist

Montreal, QC · On-site

Work with developers and IT teams to improve data infrastructure, tracking systems, and analytics ... Direct impact on business growth, content strategy, and revenue optimization. * Collaborative and ...

Medfar

Data Transfer Team Lead

Montreal, QC · Hybrid

Reporting to the Director of Deployment, you will act both as a technical reference and as a people ... Act as a technical mentor to junior and intermediate developers to accelerate their growth

next page

Showing results 1-20

All JobsDirector Data Engineer JobsDirector Data Engineer Jobs in Quebec

Director Data Engineer information

See Quebec salary details

$26K

$130.1K

$207.5K

How much do director data engineer jobs pay per year?

As of Jun 16, 2026, the average yearly pay for director data engineer in Quebec is $130,132.00, according to ZipRecruiter salary data. Most workers in this role earn between $96,500.00 and $162,500.00 per year, depending on experience, location, and employer.

How does a Director Data Engineer typically collaborate with other departments to drive business objectives?

A Director Data Engineer works closely with cross-functional teams such as product management, analytics, and IT to align data infrastructure and engineering strategies with overall business goals. They facilitate communication between data engineering teams and key stakeholders, ensuring that data solutions address real business needs and support decision-making. This role often involves leading meetings, prioritizing projects based on cross-departmental feedback, and translating technical requirements into actionable plans for their teams. Effective collaboration is essential for delivering scalable, high-impact data solutions across the organization.

What are the key skills and qualifications needed to thrive as a Director Data Engineer, and why are they important?

To thrive as a Director Data Engineer, you need advanced expertise in data architecture, data modeling, and large-scale data processing, typically backed by a degree in computer science or a related field. Familiarity with cloud platforms (such as AWS, Azure, or Google Cloud), big data tools (like Hadoop, Spark), and relevant certifications (e.g., Google Cloud Certified - Professional Data Engineer) is critical. Strong leadership, strategic thinking, and effective communication skills set top performers apart in this role. These abilities are vital for designing robust data solutions, leading high-performing teams, and aligning data initiatives with organizational goals.

What does a Director Data Engineer do?

A Director Data Engineer leads teams responsible for designing, building, and maintaining large-scale data architectures and infrastructure within an organization. They oversee data engineering projects, establish data management best practices, and ensure data systems are scalable, secure, and reliable. Additionally, they collaborate with other departments, such as analytics and IT, to align data strategies with business goals while mentoring and managing junior engineers.
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 Director Data Engineer jobs in Quebec? For Director Data Engineer jobs in Quebec, the most frequently searched job titles are:
What job categories do people searching Director Data Engineer jobs in Quebec look for? The top searched job categories for Director Data Engineer jobs in Quebec are:
What cities in Quebec are hiring for Director Data Engineer jobs? Cities in Quebec with the most Director Data Engineer job openings:
Director Data Engineer jobs near you

Senior R&D Data Scientist

Triton Digital Canada Inc.

Montreal, QC

Full-time

PTO

Posted 29 days ago

Job description

We are looking for a Senior R&D Data Scientist to join our Data Science R&D team at Triton Digital. We are using data engineering, data analysis, data science methods and machine learning algorithms to develop innovative solutions for our advertising and audience measurement platforms for podcast and radio. We are analysing vast amounts of data to understand the listeners' interests in specific podcast shows and radio stations, as well as their listening behaviors across media types and time, to improve the way me measure audiences and target them with specific ads.
As a Senior R&D Data Scientist, you will report to the Director of Data Science and will work with the other members of the Data Science team as well as other teams at Triton Digital (including big data developers, POs, PMs) to develop and implement data driven innovative solutions into our advertising and measurement platforms for podcast and radio. Your knowledge and experience allow you to work efficiently from the early, and highly challenging stages of experimentation, all the way to obtaining full-scale data science products ready to be implemented in production through cross-functional collaboration. You will work in an Agile environment adapted to suit the needs of R&D work.
You will have the opportunity to work in an industry where creating pioneering solutions to address business challenges will be a part of your daily routine. In our ever-evolving industry, every project requires a collaborative and customized approach that can be transparently validated through extensive exploratory data analysis techniques and easily explained to technical and non-technical stakeholders. Therefore, if you are someone who likes to roll up their sleeves and do the work that needs to be done, who is a good communicator, an enthusiastic team player, who likes to think outside the box and embraces a good challenge this position is for you.
Qualifications
  • Minimum education requirement: BSc or MSc in computer science or a STEM field with courses in statistical analysis or other advanced data analysis disciplines.
  • Minimum 5 years of work experience in a business environment using Python, PySpark or Scala, with a minimum of 3 years worked as a main contributor to create, validate and help implement data-driven solutions in PySpark or Scala, where you used advanced data aggregation techniques, statistical methods and ML algorithms.
  • Proven track record of using judgment and decision skills to interpret results, to communicate, and to carry out R&D data science work in a result-driven manner.
  • Proven track record of using exploratory data analysis to understand the input data and the results, and to investigate problems to find the causes and create solutions.
  • Ability to work under pressure, learn continuously and pivot to correct the course of the R&D data science work.
  • Ability to focus on the problem and use creative approaches efficiently from the early stages of a project when there are more unknowns than knowns.
  • Ability to work both independently and collaboratively within the Data Science team and with cross-functional teams.
  • Strong communication and time management skills.
Responsibilities
  • Collaborate within the team and cross-functionally to help define the project stages and help select the best approaches at each stage.
  • Collaborate within the team to form hypothesis and plan the experimental work at each project stage.
  • Test and compare different methods and algorithms during the experimental project phases.
  • Produce high quality code in PySpark that is easily reviewed by others and easily incorporated into the project's data processing pipeline.
  • Produce methodologies that lead to explainable results. Select the most appropriate R&D methodology for solving the business problem at hand, given that black box algorithms might not be suitable most of the time.
  • Perform extensive data analyses on the input data at the beginning of a project to understand its issues, the value of the information that can be extracted from it, as well as its applicability to solve the problem at hand.
  • Innovate to create and validate variables and use them as input data to train machine learning models, create custom logic rules, or a combination of both.
  • Perform extensive data analyses on results throughout the course of a project to validate them, or to debug inaccuracies and create solutions to address them.
  • Iterate quickly by taking decisions based on results to validate or adjust the course of action for the subsequent analysis steps.
  • Prepare results dashboards and presentation materials to explain work progress and outcomes to decision makers, project stakeholders, and during sprint reviews or team meetings.
  • We work with data that presents us with multiple interesting challenges and interesting problems. You will maintain a strong focus on the work priority to solve the problem at hand.
  • Document methodologies and results in systems such as Confluence and Jira.
Triton Digital is an equal opportunity employer committed to fostering a diverse, equitable, and inclusive workplace where all employees are respected, supported, and enabled to perform at their highest potential.
Our benefits package includes
  • Fully remote position
  • 4 weeks of vacation + 5 paid personal days annually
  • Group insurance programs as of your first day, including access to telemedicine and an EAP
  • Collective RRSP with matching contribution of 4%
Employment Type: Full-Time

Apply