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Canadian Imperial Bank of Commerce (Canada): C'est aussi pourquoi une carrière à la Banque CIBC est plus qu'un emploi : c'est une occasion de grandir et de travailler aux côtés de certaines des…
Candidates need strong analytics experience with Viva Engage, SharePoint and M365, plus a strong attention to detail and data accuracy. Clear communication of data and its limits without jargon is essential.
Viva Engage, SharePoint, Microsoft 365, Microsoft Excel, PowerPoint
Deloitte
6+ ansCandidates need 6 to 10+ years of data engineering experience, including end-to-end Azure data solutions and hands-on work with Microsoft Fabric or equivalents, PySpark, Spark SQL, T-SQL and pipeline orchestration. Prior experience leading teams or acting as a technical lead is required. Bilingual French and English is required for Quebec locations.
Microsoft Fabric, Azure Data Factory, Azure Synapse, Azure Databricks, Power BI, Microsoft Purview
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Cotation en bourse: TSX:RY · NYSE:RY · Source vérifiée: 2026-11-02
8+ ansCandidates need 8+ years in data science or applied machine learning, with experience leading others and designing evaluation frameworks for generative or agentic AI. They need hands-on LLM evaluation skills, strong Python, SQL and statistics, and the ability to turn governance and business requirements into measurable controls.
Python, SQL, MLflow, Langfuse, LangSmith, OpenTelemetry
Royal Bank of Canada: Royal Bank of Canada is a global financial institution with a purpose-driven, principles-led approach to delivering leading performance.
Cotation en bourse: TSX:RY · NYSE:RY · Source vérifiée: 2026-11-02
8+ ansCandidates need 8+ years in data science or applied machine learning, with experience building evaluation frameworks for generative or agentic AI. Royal Bank of Canada also asks for strong Python, SQL and statistics skills, LLM evaluation experience, and the ability to turn governance and model risk needs into measurable controls.
Python, SQL, MLflow, Langfuse, LangSmith, OpenTelemetry
Acceldata: Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and…
8+ ansCandidates need 8+ years in customer-facing technical consulting or enterprise data platform implementation, hands-on experience with distributed data platforms and Kubernetes, and programming in Python, Java or Scala. Experience with enterprise security such as Kerberos, SSL/TLS, LDAP/AD and Apache Ranger, plus strong communication skills, is required.
Apache Ambari, Kubernetes, Apache Spark, Apache Kafka, Apache NiFi, Trino
Axiom Talent Platform: As the leading alternative legal services provider globally, Axiom gives in-house legal teams on-demand access to top legal talent and lawyers —…
4+ ansCandidates need four or more years of legal experience in privacy, data protection or cybersecurity, ideally in-house, plus experience with Canadian privacy law. They must be licensed and in good standing with the Law Society of Ontario.
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