Data Engineer

Does reimagining the employee experience and transforming how Microsoft’s HR global workforce engages, grows, and thrives sound exciting to you? Are you passionate about shaping the future of work, leveraging data, AI, and innovation to deliver seamless, personalized, and impactful employee experiences? If so, the Employee Experience & HR (EE-HR) organization is the place for you. 

EE-HR’s mission is to empower, enable, and transform the employee journey at Microsoft, spanning hire-to-retire, through intelligent platforms, data-driven insights, and innovative solutions. The team drives the strategy and execution for modern HR experiences, ensuring employees have access to the right tools, insights, and support to do their best work and grow their careers. 

As part of EE-HR, you will work at the intersection of HR, data, AI (Responsible AI) and technology, building scalable, AI-ready solutions that enhance decision-making, enable workforce insights, and deliver an integrated, consumer-grade experience for employees and managers. 

We are seeking a highly skilled and motivated Data Engineer with a strong foundation in software development and modern data engineering practices to join our dynamic team. In this role, you will design, develop, and optimize scalable data and DevOps solutions, while driving innovation through AI, Large Language Models (LLMs), and Agentic AI-driven automation. 

You will play a key role in transforming engineering productivity by integrating intelligent copilots, AI agents, and predictive automation into CI/CD pipelines, cloud infrastructure, and enterprise data platforms 

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others, and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond. 

• Design and implement scalable, reliable, and secure solutions using microservices, event-driven architecture, and cloud-native platforms. 

• Develop and maintain CI/CD pipelines using Azure DevOps, integrating AI/ML, LLMs, and agentic AI capabilities for predictive diagnostics, self-healing pipelines, and intelligent automation. 

• Build reusable frameworks, components, and accelerators that enable faster development and higher quality engineering outcomes. 

• Apply best practices in CI/CD, infrastructure-as-code, observability, and debugging to ensure efficient and resilient software delivery. 

• Leverage LLMs, copilots, and agent-based architectures to automate workflows, enhance decision-making, and improve engineering productivity. 

• Drive rapid prototyping and Proof of Concepts (PoCs) using emerging AI technologies, including generative AI and autonomous agents. 

• Collaborate across engineering, data, and HR domains to build AI-powered solutions that enhance employee experience and operational efficiency. 

• Hands-on experience with using Agentic AI , LLM  technologies as well as data analytics tools 

• Good data visualization skills to be able to present insights that drive business impact.  

• Knowledge of AI/ML, LLM usecase of data engineering process a significant plus  

Preferred Qualifications:

• Bachelor's Degree in Computer Science
  • OR related technical field AND 4+ years technical engineering experience with coding in languages including, but not limited to,  C#, Spark and SQL
  • OR Python
  • OR Master's Degree in Computer Science or related technical field AND 2+ years technical engineering experience with coding in languages including, but not limited to, C# or Python and Spark, SQ
  • OR equivalent experience.