At Microsoft Research AI for Science we believe deep learning has the potential to transform scientific modelling and discovery crucial for solving the most pressing problems facing society, including sustainable materials and discovery of new drugs.
For our labs in Amsterdam (NL), London (UK), Cambridge (UK), and Berlin (DE), we seek a highly motivated data and cloud engineer to join our density functional theory (DFT) team (What is DFT?). The mission of the team is to enable highly accurate and scalable predictions of the electronic structure of molecules and materials using deep learning-powered DFT. Accurate predictions of electronic structure are essential for predictive modeling across chemistry and materials science. Learn more about our work on accurate and scalable DFT in our blog and our project website.
The primary focus of this role will be building and operating the cloud data pipelines that generate the large quantum chemistry datasets our models are trained on. You will work on turning quantum chemistry software into scalable cloud workflows, organizing and validating large scientific datasets, and running the cloud infrastructure behind them reliably and efficiently. If you have solid data and cloud engineering expertise and enjoy building infrastructure that enables cutting-edge scientific research, we encourage you to apply.
This post will be open until the position is filled.
Responsibilities
- Work with domain experts to turn quantum chemistry software into large-scale cloud data generation pipelines
- Organise, validate, and store large scientific datasets and make them efficiently available for ML and analysis
- Build cloud infrastructure with containers, infrastructure as code, and CI/CD for repeatable deployments
- Ensure reliability, security, and efficiency through observability, incident response, and capacity planning
Qualifications
Required qualifications:
- MSc in computer science, mathematics, physics, chemistry, or a related area
- Solid Python software engineering
- Experience building and operating large-scale, distributed, fault-tolerant systems and data pipelines
- Hands-on experience with Azure (preferred) or another major cloud, including containers and orchestration, infrastructure as code, and CI/CD
- Experience with agentic software development
- Ability to work in an interdisciplinary collaborative environment, through effective communication of technical concepts to non-experts from different technical backgrounds
Qualifications that are considered a plus, but are not strictly required:
- Prior experience supporting large-scale computing environments used for scientific research
- Experience with large-scale data generation or acquisition for machine learning
- Familiarity with quantum chemistry or other scientific simulation software
- Experience with data storage, backup and recovery, and cloud security
Data Engineering IC4 - The typical base pay range for this role across Germany is € 90,100.00 - € 152,500.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/germany-corporate-pay.html
Data Engineering IC4 - The typical base pay range for this role across Netherlands is € 78,800.00 - € 133,300.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/netherlands-corporate-pay.html
Data Engineering IC4 - The typical base pay range for this role across United Kingdom is £ 74,700.00 - £ 122,600.00 per year. Certain roles may be eligible for benefits and other compensation.
Find additional benefits and pay information here:
https://careers.microsoft.com/v2/global/en/corporate-pay/united-kingdom-corporate-pay.html
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.
Skills Required
- MSc in computer science, mathematics, physics, chemistry, or a related field
- Solid Python software engineering experience
- Experience building and operating large-scale, distributed, fault-tolerant systems and data pipelines
- Hands-on experience with Azure or another major cloud platform
- Experience with containers and orchestration
- Experience with infrastructure as code and CI/CD
- Experience with agentic software development
- Ability to communicate technical concepts effectively to non-experts in interdisciplinary environments
- Experience supporting large-scale computing environments for scientific research
- Experience with large-scale data generation or acquisition for machine learning
- Familiarity with quantum chemistry or scientific simulation software
- Experience with data storage, backup and recovery, and cloud security
Microsoft Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Microsoft and has not been reviewed or approved by Microsoft.
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Healthcare Strength — Health coverage is described as comprehensive, with preventive care coverage, vision options, and annual out-of-pocket limits. Feedback suggests medical, mental-health, and disability support are a major strength of the package.
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Parental & Family Support — Family support is expansive, including parental leave, family caregiver leave, child-care assistance, family concierge services, fertility options, and college-advising support for eligible employees. Feedback suggests these benefits meaningfully ease caregiving and family planning demands.
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Wellbeing & Lifestyle Benefits — Wellbeing resources include counseling and employee-assistance services, wellness reimbursements, product discounts, and charitable-matching programs. Feedback suggests these extras complement core benefits and support day-to-day quality of life.
Microsoft Insights
What We Do
At Microsoft, our mission is to empower every person and every organization on the planet to achieve more. Our mission is grounded in both the world in which we live and the future we strive to create. Today, we live in a mobile-first, cloud-first world, and the transformation we are driving across our businesses is designed to enable Microsoft and our customers to thrive in this world.
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