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The Senior Data Engineer will design and optimize scalable data platforms and pipelines using Microsoft Fabric, implementing Medallion architecture and building reliable data assets. The role requires expertise in SQL, Python/PySpark, and cloud data modeling to support analytics and business intelligence.
Designs and oversees scalable, secure data platforms and AI/ML pipelines for government/mission environments using Databricks and Palantir Foundry, ensuring governance, performance, and production readiness.
Senior Data Engineer at a consulting firm serving financial clients, designing and implementing enterprise-scale data platforms using Microsoft Fabric, building ETL/ELT pipelines, and implementing Medallion Architecture with SQL, Python, and Azure technologies.
Position Overview Principal Full Stack Engineer Cloud FinOps Platform in Dubai, UAE will lead the architecture, design and enterprise delivery of a multi‑cloud FinOps platform integrating Azure, AWS and OCI…
This senior DataOps/Cloud Data Engineer role involves designing and optimizing data pipelines and models using Azure Data Factory, Databricks, and Medallion Architecture. The position requires working 5 days onsite in Toronto to migrate ETL processes and manage data movement between Oracle databases and Lakehouses.
The Enterprise Lead Data Engineer designs and manages the company's enterprise data platform using Microsoft Fabric and Medallion Architecture. This hands-on role focuses on building ETL/ELT pipelines and integrating data from Dynamics 365 and other systems to support analytics and AI initiatives.
Product Designer creating high-fidelity UI prototypes in Figma, maintaining a design system, and translating research and operational requirements into production-ready interfaces for an aviation readiness analytics platform serving U.S. government clients.
About the role We are looking for a Data & BI Developer with 5-7 years of experience to build scalable data solutions and deliver business intelligence solutions using Microsoft Fabric and Power BI. The role…
Role Summary The Data Engineer supports the delivery of modern data solutions across commercial, operational, and enterprise domains within CSA engagements. The role focuses on building and maintaining data pipelines,…
Senior data engineering leader building enterprise data pipelines and analytics platforms using the Microsoft Fabric/Azure stack (Synapse, Data Factory, SQL, Python, PySpark) to drive digital transformation for a large agro-food corporation.
Data Architect designing data models, warehouses, lakes, and lakehouses for federal government clients, leveraging AWS/Azure cloud, SQL, and Python/Scala in an Agile, DevSecOps environment.
Position Summary Scicom Infrastructure Services is seeking an experienced Databricks Practice Lead / Engineering Manager to provide hands-on technical leadership while managing a team of data engineers, architects, and…
We are building a fast-growing Databricks practice delivering enterprise data and AI solutions across APAC. As Lead Solution Architect – Data Engineering, you will be the technical anchor of the practice: leading…
Designs and guides secure, scalable data pipelines and AI/ML workflows in Databricks and Palantir Foundry for mission-critical environments.
Designs and governs secure, compliant data platforms for a federal agency’s Azure cloud, setting standards for Lakehouse architecture, Zero Trust, and ATO-aligned security while optimizing cost and interoperability.
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 Data Science Developer will build and automate cloud-based data pipelines, lakehouse structures, and analytics models for Public Health Ontario. The role leverages Azure technologies, Python, and SQL to support public health surveillance, forecasting, and decision-making.
This role is a 6-month contract for a Senior Data Science Developer to design and maintain cloud-based data lakehouse structures and pipelines within an Azure environment. The position involves migrating legacy data pipelines to Databricks and requires strong proficiency in Python, SQL, and Azure data services.
This role is for a senior software developer to build and test data pipelines and analytics infrastructure using Microsoft Azure, Databricks, and Power BI. The position requires extensive experience in data engineering, automated testing, and public sector environments, with a hybrid work requirement in Toronto.
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