17 hours ago
Dublin, IrelandSenior
Responsibilities
- Design, build, and operate scalable data pipelines and services that ingest and unify customer support signals across voice, chat, Copilot, and knowledge-base channels.
- Build and maintain an Azure data platform using ADLS Gen2, Azure Synapse, Microsoft Fabric, medallion architecture, and a unified data model.
- Develop governed semantic models and Power BI datasets for self-service, AI-native analytics.
- Build data agents, Copilot and knowledge-agent experiences, self-service report builders, retrieval workflows, orchestration, and model-quality evaluation.
- Ensure data quality, lineage, governance, trustworthy citations, and policy compliance across the data platform.
- Write, debug, test, review, deploy, and maintain production code in SQL, Python, C#, and related services and product/test code.
- Improve pipeline and service reliability, performance, observability, and cost efficiency, including live-site, on-call, and incident-resolution work.
- Develop automated, fault-tolerant deployment scripts and templates and scale services across additional data centers and clusters.
- Collaborate with product managers, applied scientists, analysts, customers, and other stakeholders to deliver support KPI and reporting solutions incrementally.
- Break down larger work items, provide estimates, troubleshoot live-site issues, and act as a Designated Responsible Individual during on-call rotations.
Requirements
- Bachelor’s degree in computer science or a related technical field and technical engineering experience with coding in languages including C, C++, C#, Java, JavaScript, or Python, or equivalent experience.
- Proven experience building and shipping production software, including cloud services on Azure, AWS, or an equivalent platform.
- Experience across the services development lifecycle, including design, implementation, deployment, and live-site operations.
- Experience developing on cloud platforms in a continuous-delivery environment.
- Strong coding, debugging, algorithm-design, problem-solving, collaboration, and communication skills.
- Preferred: master’s degree in computer science or a related technical field, or equivalent experience.
- Preferred: experience with C# and JavaScript, object-oriented languages, database query languages, business-centric web applications, and modern web technologies.
- Preferred: experience with medallion lakehouse architectures, Azure Synapse, Microsoft Fabric, data quality, lineage, and governance for large multi-source datasets.
- Preferred: experience building AI/LLM-powered capabilities such as data agents, copilots, retrieval-augmented generation, or model evaluation, with familiarity with the Model Context Protocol.
- Preferred: familiarity with observability, live-site operations, DevOps practices, customer-support data, or large-scale customer-facing data platforms.
Benefits
- The role is based in Ireland and offers a typical base pay range of €77,400.00–€130,000.00 per year.
- Certain roles may be eligible for benefits and other compensation.
- Applications are accepted on an ongoing basis until the position is filled, with the posting open for a minimum of five days.
Categories
AI ApplicationsData Engineering
About Microsoft
Microsoft develops operating systems, productivity software, cloud services, developer tools, and consumer devices for individuals, enterprises, and governments. Its main products include Windows, Microsoft 365, Azure, Visual Studio/GitHub, Xbox, and LinkedIn; revenue comes from software subscriptions and licenses, cloud consumption, hardware sales, and advertising. Founded in 1975 and headquartered in Redmond, Washington, Microsoft is a public company traded on Nasdaq.