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Sr Data Engineer Jobs in Quebec (NOW HIRING)

TouchTunes

Senior Data Scientist

Montreal, QC · On-site

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 ...

Jestais

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

Caeus

Data Engineering Specialist

Montreal, QC

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 ...

Ubisoft

Senior AI Data Developer

Montreal, QC · On-site

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.

Intact Financial

Senior Data Scientist

Montreal, QC

Within the Data Lab, you will work in a modern data ecosystem with multidisciplinary teams (data science, analytics, engineering, product) on high-impact end-to-end use cases (anomaly detection ...

Omm IT Solutions

... Consulting Senior Data Architect with deep, production\-grade Microsoft Fabric experience to ... Architect and implement Fabric solutions for data engineering (Spark), Data Factory pipelines , and ...

Maarut

Optimum is seeking a Guidewire InsuranceSuite developer to correct the Data Consistency Checks ... Expected seniority: intermediate to senior, autonomous in diagnosis and correction. \n * This ...

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All JobsSr Data Engineer JobsSr Data Engineer Jobs in Quebec

Sr Data Engineer information

What is a Sr data engineer?

Sr Data Engineers, or Senior Data Engineers, are experienced professionals responsible for designing, building, and maintaining scalable data pipelines and architectures. They work with large datasets, ensuring data quality, reliability, and accessibility for analytics and business intelligence purposes. Sr Data Engineers collaborate with data scientists, analysts, and other stakeholders to implement data solutions that support decision-making and business growth. Their expertise often includes proficiency in programming languages like Python or Java, experience with big data tools such as Hadoop or Spark, and a deep understanding of database systems.

How do Sr data engineers typically collaborate with data scientists and analysts within a project team?

Sr Data Engineers play a crucial role in bridging the gap between raw data and actionable insights. They work closely with data scientists and analysts to understand data requirements, design robust data pipelines, and ensure the reliability and scalability of data infrastructure. Regular collaboration involves translating analytical needs into technical specifications, optimizing data flow, and troubleshooting data issues. This teamwork ensures that data-driven projects progress smoothly and that the analytical team has timely access to clean, well-structured data.

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

To thrive as a Sr Data Engineer, you need expertise in data architecture, ETL processes, programming (such as Python or Scala), and a strong background in computer science or a related field. Familiarity with big data technologies like Hadoop, Spark, cloud platforms (AWS, Azure, GCP), and database management systems, along with relevant certifications, is typically required. Advanced problem-solving abilities, attention to detail, and strong collaboration skills help set top performers apart in this role. These skills and qualities ensure the efficient design, implementation, and maintenance of robust data pipelines that enable data-driven decision-making across the organization.

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

AspectSr Data EngineerData Engineer
Required CredentialsBachelor's degree in CS or related field; 3+ years experience; SQL, Python, SparkBachelor's degree in CS or related field; 1-3 years experience; SQL, Python, Spark
Work EnvironmentCollaborates with data scientists, analysts; designs scalable data pipelinesBuilds and maintains data pipelines; supports data analysis
Employer & Industry UsageTech companies, finance, healthcare; used for complex data projectsStartups, enterprises; used for data collection and processing

The main difference between a Sr Data Engineer and a Data Engineer lies in experience level, responsibilities, and complexity of projects. Sr Data Engineers typically have more experience, handle more complex data architecture, and mentor junior staff, whereas Data Engineers focus on building and maintaining data pipelines. Both roles are essential in data-driven organizations, but the senior role involves greater technical leadership and strategic planning.

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

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

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

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

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

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

Sr Data Engineer jobs near you
Infographic showing various Sr Data Engineer job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 84% Full Time, 12% Part Time, and 3% Contract. Highlights an 82% Physical, 4% Hybrid, and 14% Remote job distribution.

Senior Data Scientist

TouchTunes

Montreal, QC • On-site

Full-time

Re-posted 5 days ago

Job description

Senior Data Scientist
Montréal, Canada
The Sr. Data Scientist will conduct detailed analysis of data sets and provide advanced analytics solutions to solve business problems, whilst leveraging traditional statistical, machine learning and optimization techniques. 
The ideal candidate is not only passionate about data but also wants to be part of an adventure that unites data with music and consumer products.  We are looking for someone who has an analytical mindset, who is resourceful and who wants to have a real impact on products, customer experience and the way we operate.
You will have the opportunity to join a young and growing team focused on innovation and driving impactful business solutions, allowing for an environment of continuous learning.
What your day to day looks like:
  • Transform complex databases compiled from different sources within the organization; Selecting and employing advanced statistical procedures to obtain actionable insights
  • Interpret, translate, and communicate analytical findings to business stakeholders through storytelling, visualization and conceptual parallels
  • Apply statistical or machine learning knowledge to specific business problems and data.
  • Develop innovative solutions for trend recognition using machine learning and advanced statistics. 
  • Use data science techniques to find data patterns, anomalies, and optimization opportunities.
  • Execution, evaluation, and reporting of A/B testing amp; cross-validating models to ensure their generalizability
  • Producing and sharing non-technical reports that detail the successes and limitations of each project
  • Staying informed about developments in Data Science and adjacent fields to ensure that outputs are always relevant.

What you bring to the table:
  • Education in Statistics, Mathematics, Quantitative Methods, or a related field.
  • Solid experience in analytics / data science with a focus on driving business decisions.
  • Experience with developing Machine Learning and statistical models.
  • Excellent programming skills using notebook environments, e.g. Jupyter, Databricks, and familiarity with SQL, Python (including standard DS libraries like Pandas, Scipy, Numpy, Matplotlib), Spark, etc.
  • Solid problem-solving approach, using statistics, analytics and reports. 
  • Experience with Consumer Products, and/or analyzing user behavior to better drive business decisions. 
  • Excellent communication skills, both verbal and written.
  • Ability to relay insights in layman's terms, such that these can be used to inform business decisions.
  • Capacity to foster a healthy, stimulating work environment that frequently harnesses teamwork.
  • Compliance with prevailing ethical standards
What’s in it for you:
  • Working alongside a bunch of super talented and friendly people.
  • A fun, diverse, open and fast-paced environment focused on family atmosphere and creating an off-the-hook user experience.
  • Challenging and stimulating projects.
  • Working with modern techs, in a culture that likes to drive constant innovation.
  • 50% off your monthly OPUS subscription.
  • Free Access to a virtual health care application. Long gone are the days of waiting 8 hours at the clinic. 
  • Conferences, training on the latest and greatest techs, weekly presentations and more.
  • Very competitive insurance package which is mostly covered by TouchTunes. 
  • Beautiful offices right next to Jarry Park. 
  • Flexible hours and working environment.
Scientifique de données Sénior
Montréal, Canada
Le Scientifique de Données Sénior effectuera une analyse détaillée d'ensembles de données et fournira des solutions analytiques avancées pour répondre à des enjeux commerciaux, tout en tirant parti des techniques statistiques traditionnelles, d'apprentissage automatique et d'optimisation. 
Le candidat idéal est non seulement passionné par les données, mais il veut aussi faire partie d'une aventure qui combine la gestion des données à la musique et aux produits de consommation. 
Nous recherchons un candidat possédant un esprit analytique, qui est débrouillard et désireux d'avoir un impact réel sur les produits, l'expérience client et notre mode de fonctionnement. Vous aurez l'opportunité de vous joindre à une équipe jeune et en pleine croissance, centrée sur l'innovation et la génération de solutions commerciales percutantes, permettant un environnement d'apprentissage continu.
En quoi consistera votre travail quotidien ?
  • Transformer des bases de données compilées complexes provenant de différentes sources au sein de l'organisation ; Sélectionner et employer des procédures statistiques avancées pour obtenir des informations exploitables
  • Interpréter, traduire et communiquer les résultats d'analyse aux parties prenantes de l'entreprise par le biais de récits, de visualisations et de parallèles conceptuels
  • Appliquer les connaissances statistiques ou d'apprentissage automatique à des problèmes commerciaux et des données spécifiques
  • Développer des solutions novatrices pour la reconnaissance des tendances en utilisant l'apprentissage automatique et les statistiques avancées
  • Utiliser des techniques de science des données pour identifier des modèles de données, des anomalies et des opportunités d'optimisation
  • Exécuter, évaluer et produire des rapports de tests A/B et de validation croisée des modèles pour assurer leur généralisation
  • Produire et partager des rapports non techniques détaillant les points forts et les limites de chaque projet
  • Se tenir informé des évolutions de la science des données et des domaines connexes pour s'assurer de la pertinence des résultats
Ce que vous apportez:
  • Une formation en statistiques, en mathématiques, en méthodes quantitatives ou dans un domaine connexe
  • Solide expérience en analytique / science des données, axée sur la prise de décisions commerciales
  • Expérience dans le développement de modèles statistiques et d'apprentissage automatique
  • Excellentes compétences en programmation à partir d'environnements notebook, par exemple Jupyter, Databricks, et familiarité avec SQL, Python (y compris les bibliothèques DS standard telles que Pandas, Scipy, Numpy, Matplotlib), Spark, etc
  • Solide approche en matière de résolution de problèmes, à l'aide de statistiques, d'analyses et de rapports 
  • Expérience des produits de consommation et/ou de l'analyse du comportement des utilisateurs pour mieux orienter les décisions commerciales 
  • Excellentes aptitudes en communication, tant à l'oral qu'à l'écrit
  • Capacité à relayer des idées en termes simples, de sorte qu'elles puissent être utilisées pour éclairer les décisions commerciales
  • Capacité à favoriser un environnement de travail sain et stimulant, propice au travail d'équipe
  • Respect des normes éthiques en vigueur
Ce que vous y gagnerez :
  • Travailler aux côtés d'un groupe de personnes super talentueuses et sympathiques
  • Un environnement amusant, diversifié, ouvert et dynamique, axé sur l'atmosphère familiale et la création d'une expérience utilisateur hors du commun
  • Des projets stimulants et passionnants
  • Travailler avec des technologies modernes, dans une culture qui favorise l'innovation constante
  • 50% de réduction sur votre abonnement mensuel à OPUS
  • Accès gratuit à une application virtuelle de soins de santé. L'époque où il fallait attendre 8 heures à la clinique est révolue 
  • Conférences, formations sur les dernières et meilleures technologies, présentations hebdomadaires et plus encore
  • Programme d'assurance très compétitif qui est en grande partie assumée par TouchTunes 
  • Bureaux magnifiques juste à côté du parc Jarry 
  • Horaires et environnement de travail flexibles

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