Huawei
Engineer - Energy Management System & BESS Applications(m/w/x)
Vollzeitnur vor OrtSenior
Nürnberg
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HUHuawei
Data Engineer: Battery Analytics & Energy Storage Systems(m/w/x)
Nürnberg
VollzeitVor OrtBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PySpark
- SQL
- Linux
- MLflow
- Kubeflow
- Airflow
- data lakehouses
- streaming architectures
- data governance frameworks
- FAISS
- Pinecone
Benefits
Gratis oder Vergünstigte Mahlzeiten
- Healthy meals in company canteen
Weiterbildungsangebote
- Broad range of training opportunities
- Online and face-to-face training programs
- Language courses in German and Mandarin
Lockere Unternehmenskultur
- Diverse and welcoming environment
Sinnstiftende Arbeit
- Self-responsible work
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Huawei erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Noch nicht perfekt?
- Huawei Research Center Germany & Austria
Internship – Advanced Battery System Modeling and Algorithm Development(m/w/x)
VollzeitPraktikumnur vor OrtNürnberg - Huawei
Intern - Energy Management System Development & Battery Optimization(m/w/x)
VollzeitPraktikumnur vor OrtNürnberg - Huawei Research Center Germany & Austria
Advanced Battery System Modeling and Algorithm Development Assistant - Leased Labor(m/w/x)
VollzeitFreelancenur vor OrtKeine AngabeNürnberg - XITASO GmbH
Senior AI Engineer(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruheab 76.000 / Jahr
HUHuawei
Data Engineer: Battery Analytics & Energy Storage Systems(m/w/x)
Nürnberg
VollzeitVor OrtBerufserfahren
AI/ML
Nejo KI-Zusammenfassung
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.
Anforderungen
- 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
Aufgaben
- 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
Berufserfahrung
- ca. 1 - 4 Jahre
Ausbildung
- Master-Abschluss
Sprachen
- Englisch – verhandlungssicher
Tools & Technologien
- Python
- PySpark
- SQL
- Linux
- MLflow
- Kubeflow
- Airflow
- data lakehouses
- streaming architectures
- data governance frameworks
- FAISS
- Pinecone
Benefits
Gratis oder Vergünstigte Mahlzeiten
- Healthy meals in company canteen
Weiterbildungsangebote
- Broad range of training opportunities
- Online and face-to-face training programs
- Language courses in German and Mandarin
Lockere Unternehmenskultur
- Diverse and welcoming environment
Sinnstiftende Arbeit
- Self-responsible work
Die Originalanzeige dieses Stellenangebotes in der aktuellsten Version findest du hier. Nejo hat diesen Job automatisch von der Website des Unternehmens Huawei erfasst und die Informationen auf Nejo mit Hilfe von KI für dich aufbereitet. Trotz sorgfältiger Analyse können einzelne Informationen unvollständig oder ungenau sein. Bitte prüfe immer alle Angaben in der Originalanzeige! Inhalte und Urheberrechte der Originalanzeige liegen beim ausschreibenden Unternehmen.
Über das Unternehmen
Huawei
Branche
IT
Beschreibung
The company is a leading global information and communications technology (ICT) solutions provider.
Noch nicht perfekt?
- Huawei
Engineer - Energy Management System & BESS Applications(m/w/x)
Vollzeitnur vor OrtSeniorNürnberg - Huawei Research Center Germany & Austria
Internship – Advanced Battery System Modeling and Algorithm Development(m/w/x)
VollzeitPraktikumnur vor OrtNürnberg - Huawei
Intern - Energy Management System Development & Battery Optimization(m/w/x)
VollzeitPraktikumnur vor OrtNürnberg - Huawei Research Center Germany & Austria
Advanced Battery System Modeling and Algorithm Development Assistant - Leased Labor(m/w/x)
VollzeitFreelancenur vor OrtKeine AngabeNürnberg - XITASO GmbH
Senior AI Engineer(m/w/x)
Vollzeit/Teilzeitnur vor OrtSeniorAugsburg, Krumbach (Schwaben), Berlin, Erlangen, Leipzig, Münster, München, Karlsruheab 76.000 / Jahr