Data Engineer II

Data Engineering is the production engine behind Global Skilling's data-driven decisions. The team delivers a unified, secure, and governed data platform that enables reporting, insights, data products, and downstream consumption across Microsoft.

We are hiring multiple Data Engineer II roles across several focus areas. Each role contributes to a different layer of the WISE data ecosystem — from foundational data pipelines and governance, to Data-as-a-Service products, to reporting and analytics experiences.

Focus Areas:

Data Engineer – Data Platform Foundations Builds and maintains ETL pipelines, data-sharing frameworks, and governance systems across 1st-party internal Microsoft data platforms (e.g., ASN, OCDM, IDEAS, MSSales), 2nd-party (LinkedIn, GitHub), partner (Skillable, Pearson, Credly), and 3rd-party (Pitchbook, Sprinklr, ATLAS) sources. Contributes to data mesh patterns and AI-ready pipelines that are discoverable and consumable by intelligent systems.

Data Engineer – Data-as-a-Service / Backend Services Designs and operates REST APIs and backend services that expose WISE datasets as secure, governed data products. Focus includes API contracts, service layers, and low-latency data consumption for Microsoft engineering teams.

Data Engineer – Reporting & Analytics / BI Engineering Builds the reporting and analytics layer using Power BI, semantic modeling, curated marts, and self-serve capabilities. Delivers stakeholder reporting, contributes to Insights Hub, and enables AI-driven and self-serve insights.

In alignment with our Microsoft values, we are committed to cultivating an inclusive work environment for all employees to positively impact our culture every day. We encourage all candidates to apply, including those who may not feel they meet every preferred qualification — research consistently shows that diverse experience and perspectives strengthen our work.

• Build and maintain production ETL pipelines ingesting data from 1st-party, 2nd-party, partner, and 3rd-party sources
• Design and implement data-sharing patterns and access controls (RBAC) across organizational boundaries
• Contribute to data mesh patterns, including data contracts, domain-owned datasets, and product-style publishing
• Develop and maintain data governance solutions, including lineage, cataloging, data quality, and compliance
• Design, build, and operate REST APIs and backend services that expose WISE datasets as data products
• Define and manage API contracts, including schema design, versioning, and lifecycle management
• Build serving layers supporting low-latency, request-response data access
• Design and deliver Power BI semantic models, curated datasets, and reporting solutions
• Build and support self-serve analytics experiences, including discoverability and performance optimization
• Instrument pipelines and services through observability practices (metrics, logs, traces)
• Partner with Privacy, Security, and platform teams to ensure data protection and compliance
• Contribute to AI-ready data patterns, including pipelines, APIs, and reporting systems designed for agentic or Copilot-based consumption
• Participate in code reviews, design discussions, documentation, and on-call rotation
• Embody our Culture and Values  

Why This Role Matters

At global scale (serving over 1B learners), the platform foundation, data services layer, and reporting experiences together determine whether data is trusted, discoverable, and actionable.

These roles ensure that Global Skilling data can be ingested, governed, exposed, and consumed efficiently — powering decision-making across Microsoft.

Required Qualifications

• Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 1+ 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 2+ years of experience in business analytics, data science, software development, data modeling, or data engineering
  • OR equivalent experience

Preferred Qualifications

• Experience designing and building production data solutions including ETL/data pipelines, backend services, or BI/reporting systems
• Experience with PySpark, SQL, and Python, including data modeling, transformation, and pipeline development
• Experience building or supporting REST APIs or data services, including schema design, versioning, and operations
• Experience delivering Power BI or semantic modeling solutions, including DAX, Power Query (M), or curated datasets
• Experience designing analytics or reporting with attention to performance, usability, and stakeholder consumption
• Experience with data governance, data sharing, and access control (RBAC), including lineage, data quality, or compliance practices
• Familiarity with data mesh, data products, or Data-as-a-Service concepts
• Experience with Microsoft Azure or modern data platforms, including a combination of: Azure Data Factory, App Service, Functions, AKS, API Management, Microsoft Fabric (OneLake, Direct Lake), Synapse, Databricks, Azure SQL, or Cosmos DB
• Experience with API standards and integration, including OpenAPI, Swagger, gRPC, GraphQL, or Microsoft Entra ID (Azure Active Directory)
• Familiarity working in enterprise-scale data environments with diverse data sources
• Experience contributing to data platforms, reporting hubs, or insights portals
• Knowledge of privacy, security, or compliance practices, and interest in AI-ready data platforms (e.g., Copilot or agentic consumption patterns)