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Data Engineer
Design and build scalable cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable analytics and AI for enterprise clients.
Senior Data Engineer
Design and build scalable data pipelines using PySpark, Databricks, and Azure services to transform raw data into business insights for Toyota Finance Australia’s automotive financing operations.
Lead SAP Business Objects Data Engineer
Lead the design and migration of SAP BusinessObjects and Power BI reporting solutions, building Universes, dashboards, and visualizations for a federal government analytics team.
Data Engineer
Design and build cloud data pipelines and lakehouse solutions using Microsoft Azure and Fabric to enable scalable analytics and AI for enterprise clients.
Full Stack Dot net developer
Build and maintain enterprise-grade web apps using .NET Core, ASP.NET MVC, and modern front-end stacks like TypeScript/Angular. Design scalable microservices with DDD, CQRS, and CI/CD pipelines.
Full-Stack Engineer – C#/React & Azure
Build and maintain web apps using C#, .NET, React, and Azure for a robotic and operations platform in Sydney.
Finance Manager, US Therapeutics
The primary objective of this position is to provide financial leadership for the Global Latest Best Estimates (LBE) planning process for Commercial Controllership Organization. The position will be responsible for…
Senior Database Analyst
Senior Database Analyst maintains and optimizes relational databases, builds Power BI dashboards, and analyzes data to drive business decisions for a global events and market-intelligence company.
Senior Data Engineer
Build and maintain scalable AWS-based data pipelines and lakehouse architecture, using Python and PySpark to ingest, transform, and serve scholarly publishing data for analytics and AI initiatives.
Software Engineering Manager
Overview Microsoft is a company where passionate innovators come to collaborate, envision what can be and take their careers further. This is a world of more possibilities, more innovation, more openness, and the sky…
Finance Data Analyst
Build and maintain Power BI dashboards with AI features and DAX measures to deliver financial insights, automate reporting, and analyze KPIs for a global publishing and events business.
Dynamics 365 CRM & ERP + Jira IT Project Manager (Azure DevOps) PTE
Lead Dynamics 365 CRM & ERP implementations integrated with Azure DevOps and a modern data hub, managing Agile/Waterfall projects, data ingestion, MDM, and Power BI reporting.
Principal Data & Analytics Engineer (Azure + Power BI)
Oversee Azure-based data pipelines and Power BI dashboards for a data consultancy, leveraging 10+ years of data engineering experience.
Analytics Engineer [Banco de Talentos]
Builds and optimizes data pipelines, models, and SQL queries in Azure and Microsoft Fabric to transform raw data into reliable, scalable analytics for business decisions.
Data Engineer
Build and maintain scalable data pipelines, warehouses, and semantic models in Microsoft Fabric and Azure Data Factory to power reporting and integrations for nonprofit-focused software.
Senior Data Engineer
Senior Data Engineer builds and maintains scalable data pipelines, warehouses, and ETL processes in Azure, SQL Server, and Snowflake to power analytics and reporting for a nationwide bank.
Senior Data Analyst & Engineering Lead for BI & Analytics
Builds BI dashboards and data pipelines using Power BI, Tableau, and Alteryx to deliver business insights for a large conglomerate in Dubai.
Data Platform Engineer - Security (m/f/d)
Builds and maintains real-time data pipelines and cyber data lakes that feed SIEM/SOAR systems, enabling threat intelligence, incident response, and compliance in a banking environment.
Data Science and Database Engineer
Design and maintain databases, build predictive models, and create reports/dashboards for a healthcare revenue-cycle management platform.
Data Engineer Job in Dubai, United Arab Emirates
Build and maintain Azure-based data pipelines and warehouses using Synapse, Databricks, and ADF to turn SAP and other sources into clean, business-ready datasets.