Huawei
Engineer - Energy Management System & BESS Applications(m/w/x)
Full-timeOn-siteSenior
Nürnberg
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HUHuawei
Data Engineer: Battery Analytics & Energy Storage Systems(m/w/x)
Nürnberg
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Building scalable data pipelines for battery analytics and energy storage systems, processing large-scale data with Spark and Kafka. Extensive experience in data engineering with Python, PySpark, SQL, and AI/ML concepts required. Healthy meals in company canteen, language courses in German and Mandarin.
Requirements
- M.Sc. in Computer Science, Data Engineering, AI, Energy Technology, or related fields
- Master's with extensive experience in Computer Science, Data Engineering, AI/ML
- Solid programming skills in Python
- Experience using PySpark, SQL, and Linux-based environments
- Strong understanding of AI/ML concepts
- Practical experience integrating ML models into production systems
- Familiarity with tools like MLflow, Kubeflow, or Airflow
- Experience working with data lakehouses, streaming architectures, and data governance frameworks
- Good understanding of energy storage systems
- Familiarity with battery-related algorithms such as SoC, SoH, RUL prediction, and fault detection
- 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
Tasks
- Design and build scalable data pipelines for energy-related data
- Maintain reliable data infrastructure for structured and unstructured data
- Collaborate with data scientists to operationalize machine learning models
- Process large-scale data using distributed frameworks like Spark and Kafka
- Implement and optimize data architectures for AI applications
- Apply AI/ML techniques to Energy Storage System applications
- Contribute to model experimentation tracking and autoML workflows
- Ensure data integrity, quality, and security throughout the pipeline
- Assist in designing AI-infused data platforms
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PySpark
- SQL
- Linux
- MLflow
- Kubeflow
- Airflow
- data lakehouses
- streaming architectures
- data governance frameworks
- FAISS
- Pinecone
Benefits
Free or Subsidized Food
- Healthy meals in company canteen
Learning & Development
- Broad range of training opportunities
- Online and face-to-face training programs
- Language courses in German and Mandarin
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Huawei and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
Not a perfect match?
- Huawei
Intern - Energy Management System Development & Battery Optimization(m/w/x)
Full-timeInternshipOn-siteNürnberg - Huawei Research Center Germany & Austria
Internship – Advanced Battery System Modeling and Algorithm Development(m/w/x)
Full-timeInternshipOn-siteNürnberg - Huawei Research Center Germany & Austria
Energy Management System (EMS) Engineer – BESS Applications(m/w/x)
Full-timeOn-siteSeniorNürnberg - Huawei Research Center Germany & Austria
Internship: Energy Management System Development & Battery Optimization(m/w/x)
Full-timeInternshipOn-siteNürnberg
HUHuawei
Data Engineer: Battery Analytics & Energy Storage Systems(m/w/x)
Nürnberg
Full-timeOn-siteExperienced
AI/ML
Nejo AI Summary
Building scalable data pipelines for battery analytics and energy storage systems, processing large-scale data with Spark and Kafka. Extensive experience in data engineering with Python, PySpark, SQL, and AI/ML concepts required. Healthy meals in company canteen, language courses in German and Mandarin.
Requirements
- M.Sc. in Computer Science, Data Engineering, AI, Energy Technology, or related fields
- Master's with extensive experience in Computer Science, Data Engineering, AI/ML
- Solid programming skills in Python
- Experience using PySpark, SQL, and Linux-based environments
- Strong understanding of AI/ML concepts
- Practical experience integrating ML models into production systems
- Familiarity with tools like MLflow, Kubeflow, or Airflow
- Experience working with data lakehouses, streaming architectures, and data governance frameworks
- Good understanding of energy storage systems
- Familiarity with battery-related algorithms such as SoC, SoH, RUL prediction, and fault detection
- 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
Tasks
- Design and build scalable data pipelines for energy-related data
- Maintain reliable data infrastructure for structured and unstructured data
- Collaborate with data scientists to operationalize machine learning models
- Process large-scale data using distributed frameworks like Spark and Kafka
- Implement and optimize data architectures for AI applications
- Apply AI/ML techniques to Energy Storage System applications
- Contribute to model experimentation tracking and autoML workflows
- Ensure data integrity, quality, and security throughout the pipeline
- Assist in designing AI-infused data platforms
Work Experience
- approx. 1 - 4 years
Education
- Master's degree
Languages
- English – Business Fluent
Tools & Technologies
- Python
- PySpark
- SQL
- Linux
- MLflow
- Kubeflow
- Airflow
- data lakehouses
- streaming architectures
- data governance frameworks
- FAISS
- Pinecone
Benefits
Free or Subsidized Food
- Healthy meals in company canteen
Learning & Development
- Broad range of training opportunities
- Online and face-to-face training programs
- Language courses in German and Mandarin
Informal Culture
- Diverse and welcoming environment
Purpose-Driven Work
- Self-responsible work
Find the original job posting in its most current version here. Nejo automatically captured this job from the website of Huawei and processed the information on Nejo with the help of AI for you. Despite careful analysis, some information may be incomplete or inaccurate. Please always verify all details in the original posting! Content and copyrights of the original posting belong to the advertising company.
About the Company
Huawei
Industry
IT
Description
The company is a leading global information and communications technology (ICT) solutions provider.
Not a perfect match?
- Huawei
Engineer - Energy Management System & BESS Applications(m/w/x)
Full-timeOn-siteSeniorNürnberg - Huawei
Intern - Energy Management System Development & Battery Optimization(m/w/x)
Full-timeInternshipOn-siteNürnberg - Huawei Research Center Germany & Austria
Internship – Advanced Battery System Modeling and Algorithm Development(m/w/x)
Full-timeInternshipOn-siteNürnberg - Huawei Research Center Germany & Austria
Energy Management System (EMS) Engineer – BESS Applications(m/w/x)
Full-timeOn-siteSeniorNürnberg - Huawei Research Center Germany & Austria
Internship: Energy Management System Development & Battery Optimization(m/w/x)
Full-timeInternshipOn-siteNürnberg