ML arteka has 12 open jobs in Canada as of November 6, 2026. Top locations: Toronto, Montréal and Brampton.
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ML arteka
3+ YOECandidates need 3 to 5 years of technical recruiting experience focused on data, cloud or backend roles. They need a working understanding of AWS, Azure, Databricks, Snowflake, Spark and Airflow, and strong passive sourcing skills in Greater Montreal.
Databricks, Snowflake, Apache Spark, Airflow, AWS, Azure
ML arteka
5+ YOECandidates need 5+ years of technology project delivery experience, working knowledge of APIs and event-driven messaging, and experience writing scope documents, estimates and Statements of Work. Strong data- and system-mapping skills, Agile or hybrid delivery experience with JIRA and Confluence, and bilingual French and English are required.
JIRA, Confluence
ML arteka
10+ YOECandidates need 10+ years of solution or integration architecture experience connecting enterprise systems. They need deep knowledge of event-driven architecture (Kafka, RabbitMQ), REST/OpenAPI contract governance, and MDM or reference-data mapping, plus strong client-facing communication skills.
Kafka, RabbitMQ, OpenAPI
ML arteka
10+ YOE4+ MgmtCandidates need 10+ years of backend development and 4+ years leading developers. They must be strong in modern Java 17/21, Spring Boot 3.x, REST APIs, Kafka and OAuth2/OIDC.
Apache Kafka, Spring Boot, Jenkins, GitHub Actions
ML arteka
6+ YOECandidates need 6 to 8 years of product design experience, a strong portfolio and expert Figma skills. They also need accessibility knowledge (AODA/WCAG), research and analytics experience, and strong leadership and communication skills.
Figma, Jira, Contentful, Adobe Analytics, Quantum Metric, Google Analytics
ML arteka
5+ YOECandidates need 5+ years in product management, product ownership or business systems analysis, with knowledge of CRM, offer, pricing and commerce platforms, REST/API concepts, and Agile delivery.
CRM, agent desktop, offer management platform, pricing platform, billing platform
ML arteka
Candidates need experience leading large data migrations, designing governed data models, and building lineage and audit trails in regulated financial services. Deep AWS data platform skills (Aurora PostgreSQL, S3, Glue, Athena, Iceberg, Lambda, Step Functions) are also required.
AWS Glue, Aurora PostgreSQL, AWS Lambda, AWS Step Functions
ML arteka
Candidates need experience designing semantic layers over cloud analytical stores like Athena, BigQuery or Snowflake, and hands-on Power BI skills including DAX and Row Level Security. They also need AWS data stack knowledge, dimensional modeling, and a habit of writing tests for data pipelines and models.
Power BI, Athena, S3, Iceberg, Aurora PostgreSQL, AWS
ML arteka
ML arteka needs strong Python and production-grade data engineering skills, with experience building AWS ingestion pipelines (S3, Glue or similar). Candidates should know Apache Iceberg, orchestration tools and data quality practices in regulated environments.
Python, AWS S3, AWS Glue, Apache Iceberg, CloudWatch, MWAA
ML arteka
15+ YOECandidates need 15+ years in banking, financial services or insurance, a record of generating revenue through advisory relationships, and strong enterprise technology knowledge in data, cloud, security and AI. They must be able to sell to and influence senior executives.
Sales, ML, Manage accounts, Regulatory compliance, Customer experience, Leadership
ML arteka
6+ YOECandidates need 6-10 years in consulting, pre-sales or technology advisory roles, experience with enterprise stakeholders and exposure to cloud, data or AI programs. Strong commercial and executive communication skills are essential.
Microsoft, AWS, Salesforce, Databricks
ML arteka
6+ YOECandidates need 6 to 10 years in product, business analysis, service design or consulting roles, with experience working with enterprise clients and senior stakeholders. Strong problem-solving, communication and facilitation skills, plus exposure to digital transformation, cloud, data or AI, are required.
ML, Customer experience, Business analysis, Problem solving, Communication skills
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