Les offres d’une même entreprise identifiée partagent une carte sur chaque page. Lorsque vous chargez la suite, ses offres sont ajoutées à la carte existante pour laisser de la place aux autres employeurs. Utilisez les flèches ou les points numérotés, ou Tout voir pour comparer ses offres chargées et accéder à la liste complète. Les pages d’entreprise affichent une carte par offre.
Softchoice: Softchoice, a World Wide Technology (WWT) company, is an IT solutions provider serving U.S.
10+ ansCandidates need 10+ years selling technology in sales or pre-sales roles, with proven results selling legacy data center infrastructure and managed or professional services. They need deep knowledge of Cisco products and hybrid, public cloud and data center models across Azure, AWS and Google.
Sales, Sales department processes, Microsoft Azure, AWS, Relationship building, Communication skills
4+ ansShyftLabs needs candidates with 4 to 6 years of IT or cybersecurity experience, at least 3 in network or infrastructure security. Strong networking knowledge, hands-on firewall experience, server hardening skills, and scripting ability are required, plus clear communication with clients.
8+ ansCandidates need about 8+ years in BI, analytics or data engineering, strong hands-on experience with Microsoft Fabric, Power BI, Power Query, DAX and SQL Server, and knowledge of Finance processes. A bachelor's degree in computer science, information systems or engineering is required.
Microsoft Fabric, Power BI, Power Query, DAX, SQL Server, SSMS
6+ ansCandidates need at least 5 years of BI engineering experience, including semantic and dimensional modelling and report development. They also need strong DAX and SQL skills and experience with Azure Databricks and Power BI.
Power BI, Azure Databricks, Jira, Confluence, Unity Catalog
6+ ansCandidates need a bachelor's degree, 6+ years of IT data experience and 5+ years of BI engineering experience. Strong Power BI, DAX and SQL skills, Azure Databricks experience and semantic modelling skills are required.
Power BI, Azure Databricks, SQL, DAX, Jira, Confluence
8+ ansCandidates need 8+ years of software engineering experience, including 5+ years designing and optimizing cloud solutions. They need strong skills in C#/ASP.NET Core, Python, AWS, Docker, Kubernetes, SQL and ElasticSearch, plus leadership, mentorship and clear communication abilities.
Company 1 - The Manufacturers Life Insurance Company
3+ ansCandidates need 3 to 5 years of full stack engineering experience, strong skills in React, Node.js, JavaScript, HTML5 and CSS3, and knowledge of accessibility standards such as WCAG 2.1. Agile, DevOps and automated testing experience is also required.
Kaseya Careers: Kaseya is the leading global provider of AI-powered IT management and cybersecurity software.
10+ ansCandidates need 10+ years of backend, distributed systems or large-scale data platform engineering experience, including leading multi-team data platform delivery. They also need hands-on experience with Kafka, Flink or Spark streaming, CDC and ingestion design, and cloud data platforms on AWS, Azure or GCP.
1+ ansCandidates need 1 to 3 years of technical implementation, data or support experience, with solid SQL, Linux, Git, YAML/JSON/XML and REST API skills. Python scripting, basic security and networking knowledge, clear communication and practical AI tool use are also required.
1+ ansCandidates need a basic understanding of data center equipment and cabling, the ability to follow written procedures, and comfort with physical work including lifting, ladders and extended exposure to noise and heat. Shift and travel flexibility is required.
2+ ansCandidates need a Bachelor's degree in Computer Science or a related field and 2+ years of coding experience in languages such as C, C++, C#, Java, JavaScript or Python. Experience with distributed systems, cloud platforms, AI infrastructure and service reliability is preferred.
10+ ansCandidates need 10+ years designing data warehouse and lakehouse solutions and 5+ years with Databricks, Delta Lake and Snowflake or API ingestion. Deep Kimball dimensional modeling, expert T-SQL and Spark SQL, and strong communication skills are essential.
Databricks, Delta Lake, Snowflake, Azure Data Factory, Verint WFM, Genesys A3S
5+ ansCGI needs candidates with 5 years of application support, IT operations or SRE experience in financial services, plus hands-on monitoring tool experience. Candidates also need SQL, Windows Server and Linux skills, batch scheduling and ticketing knowledge, and familiarity with CI/CD, containers and GitHub Copilot.
Rogers Communications: Rogers is Canada’s communications and entertainment company, driven to connect and entertain Canadians.
2+ ansCandidates need a university degree in engineering, computer science or a related field, and at least 2 years of hands-on cloud computing experience. Strong knowledge of 5G and LTE cores, containers, Kubernetes and IP networking is required.
Rogers Communications: Rogers is Canada’s communications and entertainment company, driven to connect and entertain Canadians.
7+ ansCandidates need a bachelor's degree in a quantitative or business field and 7+ years in analytics or BI. They must have advanced SQL, Python, Power BI and Azure Databricks skills, and strong stakeholder communication.
SQL, Python, Azure Databricks, Power BI, Azure Data Factory, Azure Synapse Analytics
Aequilibrium Software Inc.: Winner of multiple VancouverUX awards for digital product design, Aequilibrium provides full-stack Digital Transformation services: Strategy,…
12+ ansCandidates need 12+ years in enterprise technology or solution architecture, with significant banking or credit union experience and a record of leading vendor selections. They must know digital banking, core integrations, APIs, cloud and enterprise data platforms, and be based in Canada.
Microsoft Fabric, Snowflake, Microsoft Azure, Power BI, Microsoft Dynamics 365, Salesforce
Candidates need a computer science or related degree and practical software development experience, such as internships or personal projects. They should know at least one programming or scripting language, Git, Linux and basic SQL, and be comfortable with AI coding tools.
7+ ansCandidates need 7 to 10 years of progressive infrastructure administration experience, including 3 to 5 years with server or storage administration. They should know Windows Server, Active Directory, Exchange, SQL Server, Linux servers, SAN storage and Azure, and hold or pursue MCSE, Azure, VMware or Linux certifications.
Windows Server, Active Directory, Exchange, SQL Server, Linux, Azure
Candidates need deep AWS experience (IAM, Organizations, SCPs, VPC networking), production Kubernetes and Helm, and infrastructure as code in Pulumi, Terraform, or CDK with Go or TypeScript tooling. Experience running software in accounts they don't control and shipping versioned releases customers upgrade themselves is required.
Candidates need significant experience in process engineering, business transformation or operational excellence, and experience leading complex cross-functional transformations. They also need people leadership, change management skills, and working knowledge of intelligent and agentic automation.
UiPath, Microsoft Copilot Studio, Power Platform, Azure AI Foundry, Process mining tools, Business intelligence tools
4+ ansCandidates need a related degree plus four years of experience, or an equivalent mix of education and experience. Strong HR and payroll process knowledge, PeopleSoft, Oracle and SQL skills, and integration experience are required.
5+ ansCandidates need 5+ years of full-stack development experience and skill directing AI coding assistants. They must also know React, TypeScript, C#/.NET and SQL Server, and have experience designing distributed systems.
5+ ansCandidates need 5 to 7 years of pre-sales, solutions architecture or technical consulting experience and fluent Canadian French and English. They need knowledge of SIEM, SOAR, threat detection and observability, and experience with large-scale data or log management platforms.
8+ ansCandidates need 8+ years of applied ML/AI experience, proficiency in Python, and experience building cloud services on AWS, GCP or Azure. Strong knowledge of statistical ML, transformers and LLMs, plus ML Ops and evaluation experience, is required.