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Senior Data Engineer AWS Analytics
Senior Data Engineer at Farm Credit Canada (Regina, hybrid) building trusted data foundations for the Financial Modelling team — designing scalable repositories, automated pipelines and ETL/data-governance solutions using AWS (Redshift, Glue, Lambda, S3, Step Functions), Python, PySpark and advanced SQL to support forecasting, pricing and planning.
Data Engineer Intern/Co-op (Winter 2027)
A 4-month winter co-op/internship on TD's big data platform (Data-as-a-Service) in Toronto: developing, testing, and deploying system enhancements following SDLC practices, debugging defects, and running POCs on new technologies. Requires current enrollment in a tech program and familiarity with Java/Scala/Python/PySpark/SQL, Git, and Jira; hybrid role, 4 days/week in office.
Senior Data Engineer
Senior data engineer in Sun Life's Client Experience Office (Toronto, hybrid), building enriched AWS/Snowflake data products on client, advisor, product and transaction data to fuel analytics and data science models across Canada. Core stack: Python, PySpark, SQL; requires Reliability Status clearance.
Data Engineer Intern Toronto
TD's Technology group in Toronto is hiring a Data Engineer Intern/Co-op (4-month winter term, hybrid with 4 days/week in office) to work on its big data platform and Data-as-a-Service, applying SDLC/PMLC to build and test system enhancements using Java, Scala, Python, PySpark, or SQL.
Python PySpark Data Engineer
Contract Data Engineer in Toronto designing and optimizing scalable data pipelines and cloud data solutions using Python, PySpark, SQL, and Snowflake. Day-to-day involves REST API integrations, ETL/ELT workflows, query and platform performance tuning, plus data quality, monitoring, and automation.
Principal Data Engineer - QuantumBlack, AI by McKinsey
Principal Data Engineer at McKinsey's QuantumBlack in Santiago: leads technical teams and owns the tech stack for enterprise data and AI platforms. Day to day you architect scalable, reproducible ML data pipelines, mentor engineers, and collaborate with clients, using Python, Spark, cloud platforms, Databricks, and Airflow.
Data Engineer – Mining Data & Azure Analytics
Data engineer at Accenture Chile building data and analytics solutions for mining processes: PySpark/Pandas pipelines, API integrations, and Azure services (Data Lake, Cosmos DB), plus dashboards in Dash/Plotly and Power BI and some HTML/CSS/JS front-end interfaces.
Data Engineer - Mining Solutions
Data engineer at Accenture Chile's Supply Chain & Engineering area, on-site in Santiago, building software and data solutions for mining processes: data processing pipelines with Python (PySpark, Pandas), Azure services (Data Lake, Cosmos DB, App Services), API integrations, and dashboards/visualization with Dash/Plotly or Power BI, plus some front-end work with HTML/CSS/JavaScript.
Data Engineer
Data engineer on APM Communities' internal data team, building and supporting enterprise pipelines, models and reporting on Microsoft Fabric and Power BI. Day to day: data ingestion/transformation with SQL, Python and PySpark, Medallion-architecture lakehouse work, and secure, governed analytics for business stakeholders.
Staff Data Engineer
Staff-level data engineer providing hands-on technical leadership for Payments data platforms, data products and batch/streaming pipelines at CommBank. Day to day: designing AWS-native (S3, EMR, Glue, Lambda, Redshift) and Snowflake solutions in Python/PySpark, setting architecture standards, and mentoring engineers.
Data Engineer | Financial Services | MSBI to Azure & ADF
Data engineer at a Sydney financial services organisation, migrating a legacy SQL Server data warehouse to Azure SQL Managed Instance using Azure Data Factory. Day to day: building ETL/ELT and orchestration pipelines, dimensional models, reconciliation and DataOps practices for regulatory and analytical reporting.
Senior Azure Data Engineer: PySpark, ETL & Data Warehouse
Senior data engineer in Sydney designing and optimizing batch data pipelines, data models, and scalable architectures on a modern Azure platform, working with Python, SQL, and PySpark alongside data warehousing, MLOps, and Azure DevOps practices.
Data Engineer, Microsoft Fabric & Azure
Data engineer for a healthcare investment group's small, hands-on Data & AI team in Sydney: onboard portfolio healthcare businesses onto a central Microsoft Fabric and Azure platform, building ingestion pipelines, medallion-architecture transformations in Python/PySpark/SQL, and Power BI models while working directly with executives. $160K base + super + up to 20% bonus.
Senior Data Engineer: Cloud Data Pipelines & Fabric
Senior Data Engineer building a cloud data platform for a Queensland Government agency, designing pipelines, lakehouses and warehouses on Microsoft Fabric and Azure. Day-to-day work spans ETL/ELT, medallion architecture, Dynamics 365/Dataverse integration, data quality and Power BI support in an Agile team.
Data Engineer
Data Engineer at NTT DATA in Melbourne designing and building scalable data pipelines, Lakehouse and warehouse platforms on Microsoft Fabric and Azure (Data Factory, Synapse, Databricks) using SQL, Python and PySpark, with data quality, governance and CI/CD practices supporting analytics and AI initiatives.
Senior Data Engineer
Contract role via Hudson embedded with a Queensland Government agency building a cloud data platform: designing pipelines, lakehouses/warehouses and medallion-architecture data products in Microsoft Fabric on Azure, integrating Dynamics 365/Dataverse sources, with CI/CD via Azure DevOps and Power BI reporting support.
Data Engineer
A 6-month contract (with extension) Data Engineer role in Sydney, working on Azure data platforms. Day to day involves building and optimizing data pipelines with Databricks, Synapse, and Data Lake Gen2 using PySpark/Spark SQL and complex SQL, plus CI/CD via Azure DevOps or GitHub Actions and mentoring junior engineers.
Data Engineering Lead (Azure Databricks)
Lead a new MarTech data engineering chapter at If Insurance, coaching data engineers while hands-on building reliable data products and pipelines on Azure Databricks. Core stack includes Databricks (PySpark/SQL), DBT, and Azure Data Factory; hybrid work with at least three days in office in Finland or Sweden.