Asset Ocean GmbH
Senior Data Engineer in Renewable Energies (m/w/x)
VollzeitRemoteSenior
Hamburg
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THThe Fehrmann Tech Group
(Senior) Data Engineer (m/w/x)
Vollzeitmit HomeofficeSenior
AI/ML
Nejo KI-Zusammenfassung
Building a materials data ecosystem with cloud-native and on-premises architectures. Experience with data ecosystems, strong Python, SQL, and LLM workflow knowledge required. Pension scheme, corporate benefits, and team events.
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Anforderungen
- Degree in Computer Science, Data Science & Engineering, Mathematics, Natural Sciences, or comparable field
- Experience designing or operating data ecosystems with strong governance and provenance
- Strong Python skills and data processing frameworks experience
- Strong SQL skills and data modeling experience for analytics and production
- Familiarity with Vector databases, semantic search, text chunking, LLM workflows, and RAG architectures
- Experience with message brokers and asynchronous processing patterns; RabbitMQ experience is a strong plus
- Proven experience with Microsoft Azure (Data Services, Compute, Storage, Azure OpenAI); AWS/GCP experience valued
- Solid understanding of DataOps practices, CI/CD pipelines, and automation
- Familiarity with cloud databases, security concepts, and enterprise integration patterns
- Experience with orchestration tools and operational reliability practices
- Practical knowledge of distributed data processing and scaling patterns for very large datasets
- Bonus: familiarity with computational materials science/materials informatics, simulation pipelines, or lab data management
- Structured, pragmatic, and hands-on with strong ownership
- Able to communicate clearly across technical and non-technical stakeholders
- Curious about new technologies and able to translate them into reliable production systems
- Excellent communication skills in English; German is a plus
Aufgaben
- Design, implement, and operate scalable data pipelines
- Develop cloud-native and on-premises architectures for data and AI workloads
- Build and evolve a materials data ecosystem
- Handle large-scale scientific datasets
- Integrate data from HPC/simulation workflows and laboratory systems
- Define and implement data models, metadata standards, and provenance
- Establish robust data quality practices and monitoring
- Implement data governance foundations
- Improve CI/CD pipelines, deployment automation, and infrastructure requirements
- Ensure reliability, security, GDPR compliance, monitoring, and cost efficiency of cloud platforms
- Provide technical leadership through design reviews and documentation
- Mentor colleagues on data engineering best practices
Berufserfahrung
3 Jahre
Ausbildung
Bachelor-Abschluss
Sprachen
Englisch – fließend
Deutsch – Grundkenntnisse
Tools & Technologien
PythonSQLVector databasesRabbitMQMicrosoft AzureAWSGCPCI/CD
Benefits
Betriebliche Altersvorsorge
- Pension scheme
Mitarbeiterrabatte
- Corporate benefits
Team Events & Ausflüge
- Team events
Parkplatz & Pendelvorteile
- Well-connected office location
Von Nejo automatisch aufbereitet
Nejo hat diesen Job automatisch von der Website des Unternehmens The Fehrmann Tech Group 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.
Zur Originalanzeige bei The Fehrmann Tech GroupÜber das Unternehmen
TH
ITHamburg
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