Data Engineer II

The Windows and Devices mission is to build innovative, trusted, and open products and platforms that are centered on people, showcase the best of Microsoft, and empower every person and organization on the planet to achieve more. To achieve this mission, Microsoft Devices designs and manufactures 1st party premium hardware products including Surface, Xbox Gaming, HoloLens and Accessories. From product creation through product delivery, we innovate in technology and processes across our supply and manufacturing base. Within the Windows and Devices (W+D) organization, we are the Microsoft Devices Operations organization.

Our mission to enrich work, life, and play by bringing iconic Microsoft products to life, and we accomplish this by managing a highly leveraged, fully digitized supply base that meets our product and business goals. As part of our scope, we manage New Product Introduction, Product Engineering, Strategic Sourcing, Global Manufacturing Operations, Manufacturing Test & Infrastructure (MTI), Supply Chain, and Device Services.

Data is a key strategic asset for running Microsoft Devices Operations. If you are looking for the opportunity to build highly scalable services and rich data insights on Azure, then MDO is the right place for you to come and take on your next challenge. We are seeking a skilled Data Engineer to join our dynamic team. The ideal candidate should have a solid background in data engineering, a passion for working with large datasets, and a drive to help our organization make data-driven decisions. You will enable scalable, secure, and compliant data solutions to power analytics and AI/ML across Microsoft Devices Operations.

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.

• Drive critical initiatives to help our data platform scale to meet business priorities and advances in technology.
• Build scalable data models and pipelines to extract, load, and transform data, ensuring secure storage with a focus on data quality and compliance on Azure using services such as ADF, HDInsight, Fabric, and Synapse.
• Develop and build datasets, and collaborate with data scientists, analysts, and architects to understand requirements and deliver solutions that support AI/ML pipelines, feature engineering, and Co-Pilot applications.
• Implement and manage CI/CD pipelines (YAML and Classic) for data engineering projects using Azure DevOps.
• Anticipate data governance needs, design modeling and handling procedures, and ensure compliance with laws and policies governing data accessibility.
• Contribute in design and maintain enterprise ontologies and semantic models to support AI and knowledge graph initiatives.

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  Required Qualifications:

  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ year(s) experience in business analytics, data science, software development, data modeling, or data engineering.
  • OR Bachelor's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 4+ years experience in business analytics, data science, software development, data modeling, or data engineering
    • OR equivalent experience.
  • Proficiency in programming languages such as Python, Scala and strong experience with SQL and big data technologies (Hadoop, Spark).
  • Knowledge of Microsoft Fabric components and ecosystem (e.g., OneLake, Data Factory, Synapse).

  Preferred Qualifications:

  • 4+ years of experience in data engineering or a similar role.
  • Familiarity with data governance frameworks and metadata standards.
  • Experience with data visualization tools (e.g., Tableau, Power BI) is a plus.
  • Experience in working and integrating with AI/Co-Pilot applications
  • Excellent communication and interpersonal skills.

  
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