Chef(fe) principal(e) du PMO manufacturier/Senior Manufacturing PMO Lead
Montréal, QCCapgemini
8+ ans8 ans et plus d'expérience en PMO ou gestion de projets; Expérience en transformation et gestion du changement à grande échelle; Solides compétences en gestion des parties prenantes
Manufacturing processes, Leadership, Change management, Project management, Stakeholder management, Communication skills
Senior Data Engineer
Calgary, ABCapgemini
Candidates need strong, expert-level PySpark and hands-on experience with Databricks, Azure Data Factory or Airflow, and SQL. They also need experience with denormalized data modeling for big data systems.
Databricks, Jupyter Notebooks, Azure Data Factory, Delta Lake
Oracle EPM Engineer
Montréal, QCCapgemini
Candidates need strong PLSQL and shell scripting skills plus hands-on experience with Oracle EPM or Hyperion systems. Senior-level experience with job scheduling tools, troubleshooting and documentation is expected.
Hyperion Planning, Hyperion Consolidation, Python, UNIX, Linux
Lead Data Engineer
Vancouver, BCCapgemini
Candidates need experienced, expert-level Spark (PySpark) skills, hands-on Azure data pipeline development, experience with Azure Data Factory or Airflow, strong SQL and denormalized big data modeling. Databricks and Jupyter, Colab or Databricks notebooks are preferred.
Databricks, PySpark, Delta Lake, Azure Data Factory, Airflow, Jupyter Notebooks
Lead Data Engineer
Vancouver, BCCapgemini
Candidates need strong, hands-on experience with PySpark and Databricks, plus Python, SQL, Delta Lake and cloud platforms such as Azure or AWS. Experience with orchestration tools like Azure Data Factory or Airflow and with leading data engineering teams is expected.
Databricks, PySpark, Delta Lake, Azure Data Factory, Airflow, Jupyter Notebooks
Java Developer
Montréal, QCCapgemini
5+ ansCandidates need several years of production Java backend experience, including large distributed systems, plus solid knowledge of data structures, algorithms and Linux/Unix. A bachelor's degree in a related field or equivalent practical experience is also expected.
Java, Linux, Unix, GitHub Copilot, Claude Code, Python
Kubernetes (K8S) / HPC Engineer
Toronto, ONCapgemini
5+ ansCandidates need 5+ years in Kubernetes, cloud infrastructure, platform engineering or DevOps, with 2+ years supporting HPC environments. Strong hands-on skills with Kubernetes, Docker, Helm, Linux, Python or Bash, and at least one major cloud platform such as Azure AKS or GKE are required.
Kubernetes, Docker, Helm, Slurm, Volcano, NVIDIA GPU
AI Infrastructure Engineer
Toronto, ONCapgemini
5+ ansCandidates need 5+ years in cloud, data or AI infrastructure, hands-on AWS AI/ML experience, and knowledge of Kubernetes, Docker, Python and PyTorch. Trainium or Inferentia experience is highly preferred.
AWS Trainium, AWS Inferentia, AWS Neuron SDK, Kubernetes, Docker, PyTorch