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Data Engineer, Data Flywheel

Microsoft AI Zurich, Zurich, Switzerland · $143K–$304K/yr

Software Development · 5,001-10,000 employees

Oct 05
data-engineer Mid (2-5 yrs) Full-time Switzerland
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About the role

The role involves building infrastructure to transform various data sources into high-quality training data for frontier LLM and multimodal models. You will also own data governance, security, and compliance while developing feedback loops for model failure and data intervention.

What they look for

Data Engineering Data Governance Data Modeling Infrastructure Engineering LLM Multimodal Models Data Acquisition Data Curation Synthetic Data Data Quality Attribution Observability Privacy-preserving Processing Confidential Computing Security-aware Systems Policy Enforcement

Requirements

Candidates must hold a Bachelor's or Master's degree in a technical field such as Computer Science or Math. A minimum of 3 to 4 years of relevant experience in data engineering, software development, or data science is required.

Full description

About the role

We are looking for a Data Flywheel Infrastructure Engineer to build the infrastructure that continuously turns 1P data, 3P data, model signals, evaluation results, and synthetic data into high-quality training data for frontier LLM and multimodal models.

Job Overview

  • Build 1P & 3P Data Flywheel Infrastructure
  • Own Data Governance, Security & Compliance Infrastructure
  • Build Policy-Aware Data Acquisition & Curation Systems
  • Build Evaluation-to-Data Feedback Loops

Model Failure → Data Gap → Data Intervention → Training → Evaluation

  • Build Synthetic & AI-Native Data Pipelines
  • Build Data Quality, Attribution & Observability

Required Qualifications

  • Master's Degree in Computer Science, Math, Software Engineering, Computer Engineering, or related field AND 3+ years 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.

Preferred Qualifications

  • Experience building AI training-data governance platforms, including provenance, licensing/rights metadata, consent management, PII handling, policy enforcement, or auditable lineage.
  • Experience managing third-party datasets, data partnerships, licensed content, or externally sourced data with complex contractual and usage restrictions.
  • Experience building privacy- and security-aware systems for first-party product or user data, including isolation, access controls, retention/deletion, and purpose limitation.
  • Experience with data clean rooms, privacy-preserving processing, de-identification, confidential computing, or secure data collaboration.
  • Experience building evaluation → failure mining → data generation → training feedback loops.

Data Engineering IC5 - The typical base pay range for this role across the U.S. is USD $142,800 - $274,800 per year. There is a different range applicable to specific work locations, within the San Francisco Bay area and New York City metropolitan area, and the base pay range for this role in those locations is USD $188,000 - $304,200 per year

The typical base pay range for this role across United Kingdom is £ 93,500.00 - £ 161,800.00 per year. Certain roles may be eligible for benefits and other compensation.

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here: https://careers.microsoft.com/us/en/us-corporate-pay

This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled.

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, citizenship, color, family or medical care leave, gender identity or expression, genetic information, immigration status, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran or military status, race, ethnicity, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable local laws, regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process, read more about requesting accommodations.

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