Data Scientist
- Longueuil, QC, Canada
Full-time
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Job details
- Job type
- Full-time
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- Posting language
- English · French
- Posted
Original job description
English section of this bilingual listing.
🚀 Are you passionate about data, advanced analytics, and digital innovation?
We are looking for a Data & Analytics Engineer to join a dynamic team and help drive high-impact digital transformation initiatives.
💡 What you'll do: ✅ Build and optimize data pipelines using Databricks, PySpark, Python, and SQL
✅ Develop analytical datasets that support reporting, forecasting, and strategic decision-making
✅ Apply predictive analytics, AI, and machine learning techniques to uncover insights and opportunities
✅ Work with modern and scalable Lakehouse architectures
✅ Collaborate with project managers, business stakeholders, and technical teams to deliver innovative solutions
✅ Drive process improvements through automation and advanced analytics
🎯 What we're looking for: • 3-5+ years of experience in Data Engineering or Analytics
• Strong expertise in Python, PySpark, SQL, and Databricks
- Hands-on experience with ETL/ELT, data modelling, and Apache Spark
- Exposure to AI/ML, predictive analytics, or forecasting solutions
- Excellent communication and problem-solving skills
📍 This is an exciting opportunity to work on cutting-edge technologies and make a meaningful impact through data-driven innovation.
Read the full bilingual original
Opportunité de carrière | Ingénieur(e) Data & Analytics
🚀 Vous êtes passionné(e) par les données, l'analytique avancée et l'innovation numérique?
Nous sommes à la recherche d'un(e) Ingénieur(e) Data & Analytics pour rejoindre une équipe dynamique et contribuer à des projets de transformation numérique à fort impact.
💡 Ce que vous ferez : ✅ Développer et optimiser des pipelines de données avec Databricks, PySpark, Python et SQL
✅ Concevoir des solutions analytiques pour soutenir la prise de décision stratégique
✅ Mettre en œuvre des modèles prédictifs, d'intelligence artificielle et de machine learning
✅ Travailler avec des architectures Lakehouse modernes et évolutives
✅ Collaborer avec les équipes projets, les gestionnaires et les experts métier pour créer des solutions innovantes
✅ Contribuer à l'amélioration continue des processus grâce à l'automatisation et à l'analytique avancée
🎯 Profil recherché : • 3 à 5 ans d'expérience en ingénierie de données ou analytique
• Excellente maîtrise de Python, PySpark, SQL et Databricks
- Expérience en ETL/ELT, modélisation de données et Apache Spark
- Connaissances en IA, analytique prédictive ou apprentissage automatique
- Excellentes aptitudes de communication et de résolution de problèmes
📍 Une occasion exceptionnelle de contribuer à des projets innovants tout en travaillant avec les technologies les plus avancées du marché.
📩 Intéressé(e) ou connaissez-vous quelqu'un qui pourrait l'être? Contactez-moi directement ou envoyez votre CV.
🚀 Are you passionate about data, advanced analytics, and digital innovation?
We are looking for a Data & Analytics Engineer to join a dynamic team and help drive high-impact digital transformation initiatives.
💡 What you'll do: ✅ Build and optimize data pipelines using Databricks, PySpark, Python, and SQL
✅ Develop analytical datasets that support reporting, forecasting, and strategic decision-making
✅ Apply predictive analytics, AI, and machine learning techniques to uncover insights and opportunities
✅ Work with modern and scalable Lakehouse architectures
✅ Collaborate with project managers, business stakeholders, and technical teams to deliver innovative solutions
✅ Drive process improvements through automation and advanced analytics
🎯 What we're looking for: • 3-5+ years of experience in Data Engineering or Analytics
• Strong expertise in Python, PySpark, SQL, and Databricks
- Hands-on experience with ETL/ELT, data modelling, and Apache Spark
- Exposure to AI/ML, predictive analytics, or forecasting solutions
- Excellent communication and problem-solving skills
📍 This is an exciting opportunity to work on cutting-edge technologies and make a meaningful impact through data-driven innovation.
More about this job
Responsibilities
Build and optimize data pipelines and analytical datasets using Databricks, PySpark, Python, and SQL, supporting reporting, forecasting, and strategic decisions. Apply predictive analytics, AI, and machine learning, work with scalable Lakehouse architectures, and collaborate with business and technical teams to deliver solutions and improve processes through automation.
Requirements
The role seeks 3–5 or more years of experience in data engineering or analytics, with strong expertise in Python, PySpark, SQL, and Databricks. Candidates should have hands-on experience with ETL/ELT, data modeling, and Apache Spark, exposure to AI/ML or predictive analytics, and strong communication and problem-solving skills.
Skills
- Python
- PySpark
- SQL
- Databricks
- Data Engineering
- Data Analytics
- ETL/ELT
- Data Modeling
- Apache Spark
- Predictive Analytics
- Artificial Intelligence
- Machine Learning
- Forecasting
- Lakehouse Architecture
- Automation
- Problem-Solving
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Engineering
- Science & Research
Keywords
- Data Engineering
- Data Analytics
- Data Pipelines
- Databricks
- PySpark
- Python
- SQL
- ETL/ELT
- Data Modeling
- Apache Spark
- Predictive Analytics
- Artificial Intelligence
- Machine Learning
- Forecasting
- Lakehouse Architecture
- Analytical Datasets
- Reporting
- Strategic Decision-Making
- Digital Transformation
- Automation
- Process Improvement
- Data-Driven Innovation