Data Engineer: Battery Analytics & Energy Storage Systems - Leased Labor (18-month)

Huawei Research Center Germany & Austria; Nürnberg; Vor Ort; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A leading global ICT solutions provider is seeking a highly skilled Data Engineer specializing in Energy Storage Systems to join its research team. The candidate will design and maintain data pipelines and collaborate with data scientists to operationalize ML models. A Master's degree in relevant technical fields is required along with programming skills in Python. The role offers opportunities to work on innovative projects in a diverse and collaborative environment.

Leistungen

Healthy meals in the company canteen

Training opportunities including language courses

Qualifikationen

• Master's degree with experience in Computer Science, Data Engineering, AI/ML.
• Solid programming skills in Python.
• Strong understanding of AI/ML concepts.

Aufgaben

• Design, build, and maintain scalable data pipelines.
• Collaborate with data scientists to operationalize machine learning models.
• Ensure data integrity, quality, and security throughout the pipeline lifecycle.

Kenntnisse

Data Engineering

Python

AI/ML

SQL

Linux

Machine Learning Models

Ausbildung

Master's in Computer Science, Data Engineering, AI, or Energy Technology

Tools

PySpark

MLflow

Kubeflow

Airflow

Jobbeschreibung

Huawei Ohm Research Center (Nuremberg) is responsible for Network Energy Advanced Technology Research, Architecture Evolution Design and Strategic Technology Planning.

Huawei Digital Power is a business unit within Huawei that provides Enterprise & Industry customers, products and solutions like clean power generation, transportation electrification, site power facilities, data center facilities, and embedded power. Huawei Digital Power is committed to integrate Digital and Power Electronics technologies to provide customers with high-quality, energy‑efficient, green, and low‑carbon power electronics products, facilitating their business success.

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

Data Engineer: Battery Analytics & Energy Storage Systems - Leased Labor (18‑month) (m/f/d)

Your mission

• Design, build, and maintain scalable and reliable data pipelines for structured and unstructured Energy related data, including but not limited to ESS, Solar PV, Electricity Prices.

• Collaborate with data scientists and ESS 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.

• Apply AI/ML techniques to Energy Storage System applications, including SoX estimation approaches, Energy Trading, and predictive analytics for Big Data analysis.

• Contribute to research‑based initiatives such as model experimentation tracking, autoML workflows, or federated learning infrastructure.

• Ensure data integrity, quality, and security throughout the pipeline lifecycle.

• Provide contribute to the design of AI‑infused data platforms.

Your areas of expertise

• Master's with extensive experience in Computer Science, Data Engineering, AI/ML, and provide application knowledge in ESS.

• 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 frameworks.

• Good understanding of energy storage systems and familiarity with battery‑related algorithms such as SoC, SoH, RUL prediction, and fault detection.

Preferred Skills

• Prior work or research in battery management systems or energy storage algorithms.
• 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.