Data Product Engineer
OntarioML 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
Data Engineer — Schematic and Reporting Focus
OntarioML 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
Sr Data Engineer
Toronto, ONML 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
Account Manager
Toronto, ONML 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