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# data and cloud engineer

- **Company:** Microsoft Deutschland GmbH
- **Location:** Berlin, Germany
- **Salary:** €90,100 - €152,500
- **Contract:** Permanent contract
- **Skills:** Microsoft Azure, Big Data, Cloud Computing, Cloud Computing Security, Cloud Engineering, Continuous Integration, Information Engineering, Fault Tolerance, Python (Programming Language), Machine Learning, Simulation Software, Software Engineering, Data Storage Technologies, Deep Learning, Information Technology, Data Pipelines
- **Published:** November 4, 2026
- **Apply:** https://dejobs.org/x/x/7625F700781240138A6354E239803796/job/

## About the Role

**Overview** At Microsoft Research AI for Science (https://www.microsoft.com/en-us/research/lab/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? (https://www.microsoft.com/en-us/research/project/dft/learn-about-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 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, 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. (https://careers.microsoft.com/v2/global/en/accessibility.html)

## Description

(https://www.microsoft.com/en-us/research/project/dft/microsoft-research-blog/) and our project website (https://www.microsoft.com/en-us/research/project/dft/learn-about-dft/) . 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