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Design AI-ready data foundations and architect agentic workflows using LLMs and modern data stacks like Databricks and Microsoft Fabric for enterprise-scale AI solutions.
Designs and implements automation workflows, AI agents, and Power BI dashboards to streamline financial-services reporting and business processes.
Design AI-ready data foundations and build agentic workflows using LLMs for HP’s enterprise AI strategy, leading cross-functional teams to deliver production-grade solutions.
Build and maintain enterprise data warehouses and ETL pipelines using Azure SQL Server, SSIS, Azure Data Factory, and Microsoft Fabric to power scalable reporting solutions.
Skills and Competencies 6+ years of experience in Data Engineering, Analytics Engineering, Solution Engineering, or related disciplines within enterprise environments 4+ years of hands-on experience designing and…
Salary: From 116981 to 129492 AUD per year Company description: The NSW Department of Education is the largest provider of public education in Australia with responsibility for delivering high-quality public education…
Overview Data and Insights Manager at Kyowa Kirin International plc Marlow, UK WE PUSH THE BOUNDARIES OF MEDICINE. LEAPING FORWARD TO MAKE PEOPLE SMILE At Kyowa Kirin International (KKI), our purpose is to make people…
Customer Care Data Lead Location: London, United Kingdom, Lisbon, Estremadura Remote Type: Hybrid Time Type: Full time Job Description Job Summary Opportunity to join Insulet as a Customer Care Data Lead (Senior Data…
Lead AI-driven finance solutions, building agentic workflows and LLM copilots to automate reporting, analysis, and decision-making for Finance, Risk, and Treasury teams.
Build AI-driven finance solutions like agentic workflows and LLM copilots to automate variance explanations, exception triage, and reporting for State Street’s Finance, Risk, and Treasury teams using Python, SQL, and low-code tools.
Designs and builds scalable Palantir Foundry data pipelines, ontologies, and governance frameworks to power enterprise analytics and AI at a semiconductor manufacturing company.
Build and optimize scalable data pipelines and mining frameworks that power AI-driven engineering insights across Microsoft’s product lines, using languages like C++, C#, or Python.
Design and deliver enterprise AI-enabled automation using Microsoft Copilot Studio and Power Platform, integrating with M365/Azure and leading client engagements.
Job Summary The Microsoft Data & AI Specialist sits at the intersection of business outcomes, modern data platforms, and AI innovation. Partnering with Account Managers and Customer Executives, this role…
Design and deploy enterprise data platforms using Microsoft Azure, Fabric, Power BI, and SQL Server, building data warehouses, lakes, and ETL pipelines for analytics and AI initiatives.
Build and modernize a cloud-based data platform for analytics and ML, designing scalable pipelines, warehouses, and governance to enable real-time enterprise reporting and self-service access.
Senior Solution Engineer driving cloud database and analytics adoption for enterprises, designing secure, scalable solutions with Microsoft’s AI-powered data platform (Fabric, Azure Databricks, Cosmos DB) and guiding migrations.
Build and deploy ML models and MLOps pipelines using Python, TensorFlow/PyTorch, and cloud platforms like Azure Databricks for real-time data-driven solutions.
Builds and deploys ML models (deep learning, MLOps) for clients across industries, using Python/TensorFlow/PyTorch, Kafka, and cloud platforms like Databricks/Fabric, while collaborating with cross-functional teams to deliver scalable, real-time data-driven solutions.
Build and maintain data integration pipelines and solutions using Microsoft Fabric for VAT compliance clients, collaborating with clients and internal teams.
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