Data Engineer - REMOTE
AlbertaRandstad Canada
5+ YOECandidates need a bachelor's degree in a related field and at least five years as a Data Engineer or Data Analyst. They also need five years of Python, PySpark and SQL experience, four years designing data warehouses or lakehouses, and experience with cloud data platforms such as Databricks or Microsoft Fabric.
Azure Data Factory, SSIS, Power BI, Databricks, Microsoft Fabric, Azure
Senior Data Engineer
OntarioRandstad Canada
7+ YOECandidates need 7+ years of data engineering experience, deep Google BigQuery and GCP expertise, and advanced Python and SQL skills. They also need experience with big data and orchestration tools such as PySpark, Airflow, Dataflow, or Pub/Sub, and a Bachelor's degree in a quantitative field.
Google BigQuery, Python, SQL, PySpark, Apache Airflow, GCP Dataflow
Engineering Data and Document Coordinator
Vineland Station, ONRandstad Canada
Candidates need experience with ERP systems (Seradex is a strong asset), the ability to read engineering drawings and BOMs, and strong Microsoft Excel skills. Attention to detail, organization and clear communication are essential.
Seradex, Microsoft Excel, Microsoft Office, SharePoint
SAS Data Engineer
Toronto, ONRandstad Canada
6+ YOECandidates need 6 to 9 years of data engineering experience, ideally in banking or financial services. They need deep SAS skills, hands-on PySpark and Databricks experience, and a track record of data validation and reconciliation.
SAS, PySpark, Databricks, Enterprise Data Warehouse
Senior Data Engineer
Toronto, ONRandstad Canada
5+ YOECandidates need 5+ years of enterprise database or data engineering experience, hands-on work with SSIS or Azure Data Factory, and experience with Azure Synapse, SQL Server 2016 or later, and Azure DevOps. A university degree in Computer Science or equivalent experience is also required.
SSIS, Azure Data Factory, Azure Synapse, SQL Server, Azure SQL, Azure DevOps
Senior Data Engineer
Mirabel, QCRandstad Canada
Candidates need a solid track record in cloud data engineering, preferably AWS with Apache Spark, and experience designing ETL/ELT pipelines for large-scale processing. Functional bilingualism in French and English is required, and an industrial, manufacturing or aerospace background is a strong asset.
AWS, Apache Spark, Azure