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Rivian and Volkswagen Group Technologies
8+ ans3+ gestionCandidates need 8 to 10 years of data engineering or analytics experience, including 3+ years managing high-volume data teams. They must have hands-on skill with SQL, Python and Databricks, and a technical degree.
Databricks, Spark, Kafka, Python, SQL, HEX
Tubi - Canada: As a leading ad-supported video-on-demand service, the company engages diverse audiences through a personalized experience and the world’s largest…
7+ ansCandidates need a computer science or related degree, 7+ years of industry experience (at least 5 in data engineering), and strong SQL and Spark skills. Experience with Databricks, DBT, Airflow, Python and cloud storage on AWS, plus messaging pipelines (Braze preferred), is needed.
Spark, DBT, Databricks, Airflow, Braze, AWS
Artefact North America: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ ansCandidates need 3 to 5 years of software or data engineering experience, hands-on Google AI stack work (Gemini, Vertex AI) and strong Python and TypeScript skills. A Google Cloud certification such as Professional Machine Learning Engineer is strongly preferred, and must be obtained within 2 months if not held.
Gemini Enterprise, Vertex AI, BigQuery, Google ADK, LangGraph, LangChain
Artefact North America: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
3+ ansCandidates need 3 to 5 years of software or data engineering experience, with recent hands-on LLM development. They need strong Python and TypeScript skills, React, RAG and agentic framework experience, expertise on one major AI platform and cloud, and fluent English.
React, LangGraph, LangChain, Vertex AI, Claude Code, Cursor
Artefact North America: Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations.
8+ ansCandidates need 8+ years of software engineering and AI experience, including 2 to 3 years on LLM architecture and agentic design. Strong production experience with Google Vertex AI and Gemini, agent frameworks, cloud architecture and team leadership is required, along with a master's degree or higher in a related field.
Google Vertex AI, Gemini Enterprise, LangGraph, LangChain, Google ADK, Claude Agent SDK
Acceldata: Acceldata provides an Agentic Data Management platform that simplifies and speeds the ability for enterprises to deliver trusted data for AI and…
10+ ansCandidates need 10+ years in sales engineering or customer-facing technical roles and a bachelor's degree in computer science, engineering, data science or a related field. Hands-on work with AWS, GCP or Azure, Databricks or Snowflake, and data observability, quality or integration products is required.
Databricks, Snowflake, AWS, SQL, Python, R
Lightspeed Commerce, Inc.
Candidates need expert SQL, proven experience designing dimensional models on BigQuery or Snowflake, and hands-on modelling of Salesforce or NetSuite source systems. They also need production Dataform or dbt experience, strong English communication, and a security and compliance mindset covering GDPR, SOX and data access controls.
SQL, BigQuery, Snowflake, Dataform, dbt, Looker
Cuesta Partners
10+ ansCuesta Partners needs candidates with 10+ years in data analytics, a technical or quantitative bachelor's degree, and expertise in data modeling, cloud data platforms and data governance. Hands-on experience with AI-assisted development tools is a strong asset.
Snowflake, Databricks, Microsoft Fabric, Azure Data Factory, Matillion, Fivetran
Wave HQ
3+ ansCandidates need 3 to 5 years of machine learning engineering experience with models deployed to production. They need strong AWS, Airflow and MLOps skills and the ability to explain technical ideas to non-technical stakeholders. FinTech or financial risk experience is a significant advantage.
AWS SageMaker, Spark, AWS Glue, Terraform, Airflow, Databricks
Archera
5+ ansCandidates need 5+ years building customer-facing products, strong skills in React, TypeScript and Python, and the ability to turn unclear customer needs into clear scope. Comfort with production data and AI development tools is expected.
React, TypeScript, Python, SQL, Snowflake
Long View Systems
7+ ansCandidates need 7+ years of Dynamics NAV or Business Central consulting, deep accounting and finance knowledge, and multiple full lifecycle Business Central implementations. Strong stakeholder, facilitation and Agile delivery experience is also required.
Dynamics 365 Business Central, Power Platform, Azure Integration Services, Microsoft Fabric, Power BI
Affirm: Affirm only uses legitimate company email address domains (either “@affirm.com” or "@us.greenhouse-mail.io”) to communicate with candidates via email.
8+ ansCandidates need 8+ years building scalable backend systems in Python or Kotlin, plus experience with highly available distributed systems on AWS, MySQL, Spark and Kubernetes. Cost-visibility platform experience, complex SQL on cloud billing data, and strong communication skills are also required.
AWS Cost and Usage Reports, Snowflake, Terraform, Kubernetes, MySQL, Spark
TextNow, Inc.: The only free wireless phone service provider with unlimited talk & text, plus essential data—all in one convenient app.
3+ ansCandidates need 3–5 years with data warehouses, data lakes and ETL, plus hands-on Python and SQL and at least 2 years with Airflow and Spark. Experience with Snowflake, dbt, AWS services and real-time pipelines is preferred.
Snowflake, dbt, Airflow, Spark, Databricks, Iceberg
Versapay
10+ ans5+ gestionVersapay needs 10+ years of data leadership, including 5+ years at Director level owning enterprise data strategy. Candidates need deep modern data stack skills (Snowflake preferred), AI/ML infrastructure knowledge, experience governing data for commercial use, and proven ability to build high-performing teams.
Snowflake, AWS Glue
Forma.ai
8+ ansForma.ai needs eight or more years in security, cloud or infrastructure engineering, with hands-on AWS security and Terraform/Kubernetes experience. Candidates should also script in Python, Bash or PowerShell and communicate well across teams. SOC 2 or ISO 27001 support experience is strongly preferred.
AWS, Terraform, Kubernetes, GitHub, Microsoft 365, Entra ID
Third-Party Job Posts
Candidates need senior experience as a data engineer, data architect or tech lead in cloud environments. Deep Snowflake and dbt skills, advanced SQL and Python, and experience with orchestration tools and CI/CD are required. Business-level English and remote teamwork skills are expected.
Snowflake, dbt, Matillion, Sigma, Git, Jira
Tali AI
5+ ansCandidates need 5+ years of production ML or applied AI experience, deep evaluation experience, and experience with agentic systems. Strong Python, backend systems and data-pipeline skills are required.
Vertex AI, Cloud Run, GCP, Claude, TypeScript
Snowflake: **Snowflake is proud to be the Official Data Collaboration Provider for LA28 and Team USA.**
7+ ansCandidates need 7-8 years of industry experience, including 5+ years in pre-sales, plus strong presentation skills for technical and executive audiences. Hands-on skill with SQL, SQL analytics and Python, and broad database, data warehouse and cloud experience, are required, along with an advanced degree in computer science, engineering or a related field.
Snowflake, SQL, Python
Shakudo
8+ ansCandidates need 8+ years in enterprise data platforms or infrastructure software and a record of scaling platforms to $10M+ ARR. Ex-founders who have raised $1M+ or generated $500K+ in revenue are strongly preferred, along with Kubernetes, data and AI infrastructure, and enterprise sales experience.
Kubernetes
Airbyte
2+ ansCandidates need 2+ years in software engineering, data engineering, or technical support, with strong SQL and Java or Kotlin skills. Hands-on experience with relational databases, warehouses or data lakes, CDC, and JDBC is needed, along with cloud platform knowledge.
SQL, Java, Kotlin, JDBC, Docker, Kubernetes
Cohere: Cohere is the leading security-first enterprise AI company.
10+ ansCohere asks for 10+ years building production analytics or software systems, and experience shipping LLM agents and natural-language analytics that real users relied on. Candidates also need strong Python and SQL, warehouse and dbt experience, and experience evaluating LLM systems and hiring engineers.
BigQuery, dbt, Python, SQL, MCP, Slack
Nexxa.AI
6+ ansCandidates need 6+ years in DevOps, SRE or platform engineering, with hands-on production experience in cloud platforms, Kubernetes, infrastructure-as-code and CI/CD. Strong observability, scripting, incident leadership and project-leading skills are also required.
Kubernetes, Terraform, Pulumi, GitHub Actions, GitLab CI, CircleCI
Jobber: The company continually ranks as one of Canada's fastest-growing and most innovative companies by Canadian Business and Macleans, The Globe and…
Jobber needs a candidate with production ML experience that acted on real users, a strong statistics foundation, expert SQL and production Python, and depth in modern ML methods including transformers and LLMs in production. Graph experience such as Neo4j, Snowflake, Airflow and AWS are strongly valued.
Neo4j, Snowflake, Apache Airflow, AWS, Python, SQL
Short Story
5+ ansCandidates need 5+ years of software development experience, including 2+ years in Python. They should know CI/CD and infrastructure, plus a Python web framework, a testing framework such as PyTest, a cloud provider such as AWS, containers such as Kubernetes, and relational databases such as Postgres.
Python, PyTest, AWS, Kubernetes
22 entreprises