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Designs and maintains cloud-based ETL/ELT pipelines for a smart-appliance manufacturer, integrating user, telemetry, and CRM data using AWS and GCP tools.
Builds and optimizes Power BI semantic models and dashboards to deliver standardized, self-service reporting solutions that align with business needs and reduce ad-hoc requests.
Rebuilds and modernizes data pipelines using Microsoft Fabric, focusing on ingestion, validation, and transformations to transition ownership to IT and eliminate manual processes.
MaxHealth is seeking a Data Engineer for developing, maintaining, and supporting enterprise data pipelines and data integration solutions within MaxHealth's cloud-based analytics ecosystem. This role works closely…
IDEXX is seeking a Principal Data Architect that will drive the vision for the VetSoft Analytics Team’s data architecture and lead the team that builds it. You will own how data moves from source systems through our…
Design, build, and deploy production-grade agentic AI and automation solutions that collect, validate, and quality-assure data at scale Engineer multi-agent orchestrations, data pipelines, MCP integrations, and API…
Position Title Big Data Senior Developer, Marketing & Advertising Data (French Services) (Telework/Hybrid) Status Of Employment Contractee Long-Term (Durée déterminée) Position Language Requirement French Language…
About Us Veeda AI is building the next generation of multimodal foundation world models for Physical AI. We're a small, fast-moving team of engineers and researchers from leading AI labs, tackling some of the most…
The Technical Analyst will design, develop, and test software systems for a logistics provider, focusing on data warehousing, ELT processes, and BI visualization tools. The role involves analyzing business requirements and providing technical support throughout the development lifecycle.
Data Analyst for a vehicle telematics company, performing data ELT, cleansing, warehouse projects, dashboard creation, and reporting using Excel, Python, and SQL to derive insights from fleet and vehicle data.
DevOps Engineer for a proprietary trading fund, building and maintaining CI/CD pipelines, infrastructure-as-code (Terraform, CloudFormation), AWS cloud-native microservices on Kubernetes/EKS, Docker containerization, and monitoring solutions using Python scripting.
Database Administrator/Engineer responsible for the reliability, performance, and security of large-scale SQL Server and Azure-based databases on a SaaS platform, collaborating across Platform Operations, Infrastructure, and Product Development teams in a hybrid Toronto setting.
The Senior Data Engineer will design and maintain scalable cloud-based data platforms and pipelines using AWS, Python, and Apache Spark to support financial reporting and analytics. The role involves collaborating with finance and business teams to build robust data models and ensure data governance across the organization.
This role involves building predictive models and data pipelines within the Microsoft Fabric platform to integrate external market data with internal real estate datasets. The Data Scientist/Engineer will manage the full data lifecycle, from ingestion and transformation to MLOps and insight generation for business stakeholders.
The Project Delivery Manager will lead the end-to-end lifecycle of sourcing, integrating, and operationalizing external real estate and market data into an enterprise AI platform built on Microsoft Fabric and Azure AI Foundry. This role bridges business strategy, vendor management, and technical data engineering to ensure high-quality, analytics-ready data products.
The Junior Data Engineer will design and maintain ETL pipelines to process environmental data using Python, PySpark, and AWS. This role involves collaborating with senior engineers to support sustainability initiatives through data-driven insights.
Build and maintain scalable ETL/ELT pipelines on a cloud-native data platform using Databricks, Azure Synapse, and Python, delivering data products and self-serve analytics across an education services group.
The Senior Data Engineer will develop and maintain scalable production data pipelines and Snowflake models using dbt. The role involves working with batch and real-time data processing within a global B2B technology environment.
Data Engineer building production-grade data pipelines and event-stream infrastructure for Ki, an algorithmic Lloyd's of London insurtech carrier, using Python, SQL databases (PostgreSQL, MySQL, BigQuery), cloud platforms (GCP/AWS), and CI/CD.
The Data Architect will design and implement scalable, secure data pipelines and architecture on Microsoft Azure using tools like Databricks, Synapse, and Python. This role involves leading data integration efforts, ensuring data governance, and providing technical leadership to engineering teams.
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