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Cloud Data Engineer responsible for designing scalable batch and real-time data pipelines, managing cloud data platforms on AWS, Azure, or GCP, and developing ETL/ELT processes with IaC and CI/CD automation.
Senior Data Engineer/Manager leading a large-scale cloud data modernization on GCP (BigQuery, dbt, Airflow/Composer), Looker, and Power BI, with heavy emphasis on stakeholder influence, Agile delivery, and data quality in an enterprise setting.
The Data Engineer will design and maintain scalable ETL/ELT pipelines in Azure Databricks to process insurance data. The role involves collaborating with stakeholders to deliver data assets, ensuring data quality and security, and automating workflows using tools like Azure Data Factory and GitHub Actions.
Data Engineer responsible for end-to-end incident management, daily monitoring of data pipelines and ETL/ELT processes, and participating in data migration projects using SQL, cloud data technologies, and enterprise data platforms.
The Data & Analytics Engineer will build and maintain scalable data pipelines and infrastructure on Snowflake to support AI-driven analytics and business decision-making. The role involves managing ELT processes, optimizing data models, and implementing governance frameworks using Python, SQL, and AWS-native tools.
Senior Data Engineer (hybrid, 3 days in downtown Toronto) building and optimizing scalable ETL/ELT pipelines using AWS, Snowflake, Python, SQL, and Airflow for a wealth technology group in the financial sector.
The Data Platform Engineer will design and evolve data platforms on Google Cloud, managing pipelines with BigQuery, dbt, and Airflow. The role involves implementing infrastructure as code, supporting MLOps, and integrating AI/LLM solutions for data quality and process optimization.
Data Platform Engineer designing and evolving a GCP-based data platform using BigQuery, dbt, Terraform, and Airflow for a logistics/transport technology company, with AI/LLM-driven automations.
DevOps engineer deploys and maintains Kubernetes clusters, automates CI/CD pipelines, and sets up monitoring for AI and data services using Terraform, GitLab CI, ArgoCD, Prometheus, and Grafana.
The Data Engineer will design and optimize big data processing pipelines using Apache Spark, Scala, and Elasticsearch within the Quantexa software ecosystem. The role involves collaborating with cross-functional teams to implement scalable data solutions on OpenShift and supporting compliance-focused financial projects.
The Senior Data Engineer will design and maintain scalable ETL/ELT pipelines using Informatica and dbt to support enterprise analytics. The role involves collaborating with business stakeholders to build data models and ensure high-quality data integration across the organization.
The Data Engineer will design, build, and maintain scalable data pipelines and cloud-based analytics platforms using Microsoft Azure. The role involves collaborating with stakeholders and data scientists to support business intelligence, machine learning initiatives, and data governance.
Technical Product Manager owning the Sentinel data and analytics platform for pipeline asset integrity, focusing on AI-driven ETL, risk model governance, and regulated workflow software using Databricks, Azure, and AI tooling.
Senior DataOps/Cloud Data Engineer based on-site in Toronto, designing and optimizing Azure Data Factory and Databricks pipelines, migrating Informatica ETL to Azure ELT using Medallion Architecture, and connecting on-premises data sources for a government Community Services Cluster project.
Senior Data Engineer on the Data Consumption team at JLL, designing and delivering data contracts and Delta Sharing across the Enterprise Data Platform using Databricks, Unity Catalog, and Azure data services.
Data Engineer supporting enterprise data migration and reporting transformation for a bank, using SQL, Hive, Impala, and Hadoop ecosystem tools for source-to-target mapping and ETL development.
The Lead Data Engineer will design and scale data pipelines and analytics platforms to support AI initiatives within a regulated financial environment. The role involves leading technical teams, ensuring SDLC compliance, and managing data governance using Python and Databricks.
Build and operate enterprise-scale ETL/ELT data pipelines and knowledge graph infrastructure using Python, SQL, Google Spanner, BigQuery, Neo4j, and vector databases to support enterprise search and AI systems.
Data Engineer/Analyst designing, developing, and maintaining finance domain data products at Volvo Cars using Snowflake, SQL, Python, dbt, and Airflow on Azure.
Data Engineer designing, building, and maintaining scalable cloud data pipelines and analytics platforms on Microsoft Azure, supporting BI reporting and ML model deployment for a logistics company.
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