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Senior Data Engineer
Key Responsibilities Design, develop, and optimize scalable data pipelines using Python and SQL Build and manage data models and transformations using DBT Develop and maintain workflows and scheduling using Airflow…
Data Engineer III - Senior Associate
We are seeking a Backend Data Engineer with strong API development experience in Java or Python, with full-stack capabilities as a plus. The ideal candidate brings hands-on expertise in cloud platforms (AWS preferred),…
Senior Analyst - Data Governance (GenAI)
In U.S. Consumer Services (USCS), our product is Membership—delivering benefits and services that are essential to our Card Members across travel, dining, entertainment, and retail. We compete by providing a…
Senior Data Engineer with GCP
We are looking for a Senior Data Engineer to help customers migrate data analytics and AI workloads to GDC Air-Gap (focused on post-deployment guidance) in EMEA. In this role, the engineer will guide customers on…
Senior Data Engineer
Fidelity will not provide immigration sponsorship for this position. Job Description: The Role The Workplace Investing Data Conversion & Implementation team is seeking a Senior Data Engineer to support Defined Benefits…
Engenheiro(a) de Dados Pleno/Sênior Rio de Janeiro/RJ
Venha fazer parte de um projeto estratégico de transformação tecnológica no setor de energia! Estamos em busca de um(a) Engenheiro(a) de Dados Pleno/Sênior para atuar em um importante projeto de transformação digital…
Senior Data Engineer: AI‑Ready Data Platform & Snowflake
Fairlo in Stockholm is hiring a Senior Data Engineer to redesign and rebuild its data platform, owning the Snowflake architecture, scalable data models, and governance. The role partners with Engineering, Product, Risk, and Finance to enable AI-driven insights, self-service analytics, and hands-on experimentation with new AI tools.
Senior Data Engineer - Remote - Edmonton& AB - SDAB
6-month contract hiring intermediate and senior data engineers to support Azure data engineering, analytics, and enterprise data integration for the Government of Alberta. Remote from Edmonton, AB with occasional on-site meetings; core stack includes Azure Databricks, Delta Lake, Synapse, Python/PySpark, SQL, and Talend.
Senior AI Data Platform Engineer
Senior engineer at BCI builds AI-powered data platforms for Private Equity teams in Victoria or Vancouver — creating pipelines, document intelligence, and natural-language data access via MCP using Databricks, Azure, Python, and SQL.
Senior Environmental Data Engineer — ETL, APIs & Azure
Senior data engineer at SLR Consulting building environmental data tools and workflows that integrate with EQuIS: designing ETL pipelines, developing secure REST APIs, and deploying on Azure, with CI/CD in Azure DevOps and a focus on code quality, documentation, and client collaboration.
Senior Lakehouse Data Engineering Expert
Senior data engineer building secure, high-performance lakehouse data architectures for Croesus's wealth management platform, using Databricks, Medallion architecture, and Unity Catalog to run governed ELT/ETL pipelines, resolve production incidents, and support analytics and AI. Hybrid role with two weekly office days in Laval or Montréal.
Senior Data Platform Engineer
Senior Data Engineer at Amphenol Communications Solutions in Markham building enterprise data platforms: ingestion frameworks, storage, and transformation services connecting ERP, MES, CRM, APIs, and files. Core stack is SQL, Python, Azure Data Factory, and Fabric, with emphasis on reliability, testing, and governed data controls.
Senior Data Platform Engineer
Senior Data Platform Engineer at Canada Life (insurance) who designs, administers, and supports Azure-based data platforms — Azure Databricks, Data Factory, ADLS Gen2 — using Terraform/IaC, managing security via Entra ID, and providing on-call operational support. Hybrid role based in London or Toronto, ON.
Senior Data Engineer
Senior Data Engineer in Winnipeg for an industrial/manufacturing company, designing and maintaining scalable Azure data pipelines, data models, and integrations while monitoring data quality and delivery. Core stack: Python, PySpark, SQL, and Azure data services (Data Factory, Databricks, Synapse, Fabric, Power BI).
Senior Azure Data Engineer
Senior Data Engineer at an industrial and manufacturing company in Winnipeg (recruited via Michael Page): designs and maintains scalable Azure data pipelines, builds data models and integrations, monitors workflows, and improves data quality using Python, PySpark, advanced SQL, and Azure data services.
Senior Security Data Engineer
Senior data engineer on Sun Life's global Security Analytics team, maintaining data repositories and building AWS cloud pipelines (Python, Glue, Lambda) that power threat intelligence, user behavior analytics, and predictive modeling to protect client data, while mentoring juniors in a hybrid Toronto role.
Senior Marketing Data Engineer (Hybrid)
Senior Data Engineer at National Bank of Canada (Montréal, hybrid) building and maintaining marketing data ingestion flows, defining data models, and collaborating across teams to integrate external solutions and optimize performance within the Personal Data Management and Valorisation team.
Senior Azure Data Engineer Edmonton
Remote six-month contract (occasional Edmonton meetings) supporting Azure data engineering, analytics, and enterprise data integration for the Government of Alberta. Day-to-day work centers on building ETL/ELT workflows and analytics-ready datasets using Azure Databricks, Delta Lake, Python, PySpark, SQL, and Talend.
Senior Environmental Data Engineer
Senior data engineer at SLR Consulting in Vancouver building custom tools, ETL pipelines for lab/field/logger data, secure REST APIs, and reports that integrate with EQuIS. Day-to-day work centers on C#/.NET, optimized T-SQL on Azure SQL, Azure cloud deployments, and CI/CD in Azure DevOps.
Senior Business Intelligence Data Engineer
Senior BI data engineer at RSM's Data Analytics team, building dimensional and 3NF data models, ETL pipelines, and semantic models, reports, and dashboards to support client-facing analytics. Core stack includes SQL, Python or Scala, and cloud data and visualization platforms; hybrid work with periodic US travel.