AI/ML Data Engineer with Energy Storage Focus - Leased Labor

Huawei Research Center Germany & Austria; Deutschland; Vor Ort; EUR 65.000 - 85.000; Vollzeit

Zusammenfassung

A leading technology and communications company in Germany is seeking a skilled Data Engineer to support AI/ML applications in Energy Storage Systems. This role involves designing data pipelines and collaborating with teams to integrate advanced analytics. Candidates should have a PhD or Master’s degree in relevant fields and strong programming skills in Python. Join a dynamic team to drive innovative solutions in energy technology.

Leistungen

Healthy meals in company canteen

Broad range of training opportunities

Diverse and welcoming environment

Qualifikationen

• Strong foundation in Energy Storage Systems and related algorithms.
• Practical experience integrating ML models into production systems.
• Experience in working with data lakehouses and streaming architectures.

Aufgaben

• Apply AI/ML techniques to Energy Storage System applications.
• Design and maintain reliable data pipelines for ESS data.
• Collaborate with data scientists to operationalize ML models.

Kenntnisse

AI/ML techniques

Data engineering

Python programming

Data integrity

Ausbildung

PhD or Master's degree in Computer Science, Data Engineering, AI

Tools

PySpark

SQL

MLflow

Jobbeschreibung

The Power Conversion Technology Laboratory within Huawei's Nuremberg Research Center is responsible for Advanced Digital Power Technology Research, Architecture Evolution Design and Strategic Technology Planning, and plays an important role in the Huawei Digital Power business in the design and development of power converters and control systems for applications such as PV Solar & Battery Energy Storage Field, Data Centers, Electric Vehicle, and Embedded Power Supply.

We are seeking a highly skilled and motivated Data Engineer with a strong foundation in AI/ML and Energy Storage System (ESS) technology to join our growing energy storage team at Nuremberg research center. This role combines expertise in building scalable data infrastructure with advanced AI model integration to support cutting-edge analytics and intelligent systems for Energy Storage System application. Candidates with a PhD/ M.Sc. in Computer Science, Data Engineering, AI, Energy Technology, or related fields are highly encouraged to apply.

Join us as a

Your mission

• Apply AI/ML techniques to Energy Storage System applications, including SoH/RUL estimation, fault detection, and predictive analytics.
• Design, build, and maintain scalable and reliable data pipelines for structured and unstructured ESS data.
• Collaborate with data scientists and researchers at Huawei to operationalize machine learning models at scale.
• Work with large-scale data (batch and real-time) using distributed processing frameworks (e.g., Spark, Flink, Kafka).
• Implement and optimize data architectures for AI use cases, including feature stores and model training pipelines.
• Ensure data integrity, quality, and security throughout the pipeline lifecycle.
• Contribute to research-based initiatives such as model experimentation tracking, autoML workflows, or federated learning infrastructure.
• Provide technical leadership and contribute to the design of AI-infused data platforms.

Your areas of expertise

• PhD (or Master's with extensive experience) in Computer Science, Data Engineering, AI/ML, Electrical Engineering, Energy Technology, or related disciplines.
• Good understanding of energy storage systems and familiarity with battery-related algorithms such as SoC, SoH, RUL prediction, and fault detection.
• Solid programming skills in Python, with experience using PySpark, SQL, and Linux-based environments.
• Strong understanding of AI/ML concepts and practical experience integrating ML models into production systems.
• Familiarity with tools like MLflow, Kubeflow, or Airflow for ML pipeline orchestration.
• Experience working with data lakehouses, streaming architectures, and data governance framework

Preferred Skills

• Prior work or research in battery management systems or energy storage algorithms.
• Published research or technical papers in AI/ML, data systems, or energy applications.
• Experience with vector databases (e.g., FAISS, Pinecone) and LLM-based applications.
• Familiarity with modern MLOps and DevOps best practices.
• Contributions to open-source AI or data engineering projects.

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Your rewards of working here

• Our culture is characterized by innovative power and team spirit as well as the intensive exchange of knowledge and experience within our global network.
• We offer healthy meals ranging from traditional Chinese to western delicacies in our famous company canteen.
• To keep your development ongoing, you will find a broad range of training opportunities. Many online and face-to-face training programs incl. language courses in German and Mandarin.
• Our diverse and welcoming environment is shaped by different backgrounds and around 40 individual nationalities.
• Self-responsible work in a competent, motivated and constantly growing team.

Please send your application and CV (incl. cover letter and reference letters) in English.

Huawei is a leading global information and communications technology (ICT) solutions provider. Driven by a commitment to operations, ongoing innovation, and open collaboration, we have established a competitive ICT portfolio of end-to-end solutions in Telecom and enterprise networks, Devices and Cloud technology and services. Our ICT solutions, products and services are used in more than 170 countries and regions, serving over one-third of the world\'s population. With 197,000 employees, Huawei is committed to develop the future information society and build a Better Connected World.

Department Power Conversion Laboratory Nuremberg Locations Nuremberg