Senior Data Engineer (m/f/d)
Festanstellung, Vollzeit · Fehrmann Materials X GmbH
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Deine Aufgaben
Key responsibilities
- Design, implement, and operate scalable data pipelines for structured and unstructured data (batch and, where needed, streaming)
- Develop cloud-native architectures for data and AI workloads (primarily on Microsoft Azure)
- Build and evolve a materials data ecosystem linking physics-based modeling/simulation data and experimental laboratory data
- Handle large-scale scientific datasets (e.g., atomistic simulations, DFT/MD, high-throughput campaigns), including efficient storage, metadata, and performant access patterns
- Integrate data from HPC/simulation workflows and laboratory systems (instrument exports, LIMS/ELN where applicable) into curated, analysis-ready datasets
- Define and implement data models, metadata standards, and provenance to ensure traceability, reproducibility, and auditability across simulations and experiments
- Establish robust data quality practices (validation rules, unit consistency, schema controls) and data quality monitoring aligned with operational SLAs/SLOs
- Implement data governance foundations (cataloging, access control, lineage) and enable policy-driven data sharing across teams
- Enable production deployment of ML and NLP/LLMs/VLMs/VLAs etc. applications through strong MLOps/DataOps practices
- Integrate Azure OpenAI and LLM-based services into enterprise applications in a secure and maintainable way
- Implement Infrastructure-as-Code, CI/CD pipelines, and automation for data and AI systems
- Ensure reliability, security, GDPR compliance, monitoring/observability (logging, metrics, alerting), and cost efficiency of cloud platforms
- For LLM/RAG systems: manage embeddings and vector retrieval lifecycle, introduce evaluation and monitoring, and apply prompt/config versioning for repeatable releases
- Provide technical leadership through design reviews, documentation of standards, and mentoring where appropriate
Deine Qualifikation
Your profile
Education & experience
- Degree in Computer Science, Data Science & Engineering, Mathematics, Natural Sciences, or a comparable field
- 5+ years of professional experience in data engineering, cloud engineering, or MLOps
- Hands-on experience deploying ML and/or LLM-based applications in enterprise-grade cloud environments
- Proven experience working with large-scale scientific datasets, ideally in simulation-heavy or R&D environments (materials, chemistry, physics, CAE, computational engineering)
- Experience designing or operating data ecosystems that unify multiple data domains (simulation + experiments) with strong governance and provenance
Technical skills
- Strong Python skills and experience with data processing frameworks
- Strong SQL skills and experience with data modeling for analytics and production use cases
- Proven experience with Microsoft Azure (Data Services, Compute, Storage, Azure OpenAI); AWS/GCP experience is also valued
- Solid understanding of DevOps/DataOps/MLOps practices, CI/CD pipelines, and automation
- Strong experience with containers (Kubernetes), Linux, Git, and system integration
- Familiarity with cloud databases, security concepts, and enterprise integration patterns
- Experience with orchestration tools and operational reliability practices
- Exposure to LLM workflows and RAG architectures; agentic AI experience is a strong plus
- Practical knowledge of distributed data processing and scaling patterns for ingestion/transform/query of very large datasets
- Bonus: familiarity with computational materials science/materials informatics, simulation pipelines, or lab data management (LIMS/ELN/instrumentation exports)
Working style
- 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
Wir bieten Dir
What we offer
- Innovative, fast-growing environment with a long-term perspective
- Flat hierarchies, fast decisions, and direct collaboration with management
- Permanent employment with flexible working hours
- Hybrid setup with remote work up to 2 days/week
- Pension scheme, corporate benefits, team events, and a well-connected office location
Bist Du interessiert?
Please send us your application with relevant documents (resume, short cover letter/your motivation, and complete references), stating your salary expectations and your possible start date to: career@fehrmann.tech. We look forward to getting to know you!
Auf diese Stelle bewerben
Über uns
Die Fehrmann Tech Group ist eine hoch innovative Unternehmensgruppe mit zwei operativen Geschäftsbereichen:
Fehrmann Windows ist der weltweit führende Experte für Schiffsfenster und andere druckdichte Spezialfenster für den Anlagenbau und den Hochbau. Unsere Fenster sind maßgeschneiderte Spezialanfertigungen auf höchstem Sicherheitsniveau.
Fehrmann Materials ist weltweit führend in der Entwicklung von High-Performance Aluminiumlegierungen für Sandguss und 3D-Druck. In der unternehmenseigenen Gießerei werden Sicherheitsbauteile, zum Beispiel für Explosionsbereiche oder Spezialfahrzeuge aus den eigenen Legierungen produziert.
Menschen & Kultur Das Familienunternehmen Fehrmann ist trotz seiner langen Geschichte dynamisch wie ein Start-up, und seine kurzen Entscheidungswege, der Innovationsgeist und die persönliche, kollegiale Kultur ziehen Professionals aus der ganzen Welt an. Die Tochtergesellschaften der Fehrmann Tech Group pflegen einen regelmäßigen Austausch - für gegenseitige Inspiration und echten Teamspirit.
Ein tolles Team, hohe Kompetenz und Einsatzbereitschaft von jedem einzelnen und ein großer Zusammenhalt - das zeichnet uns bei Fehrmann aus.
Your tasks
Key responsibilities
- Design, implement, and operate scalable data pipelines for structured and unstructured data (batch and, where needed, streaming)
- Develop cloud-native architectures for data and AI workloads (primarily on Microsoft Azure)
- Build and evolve a materials data ecosystem linking physics-based modeling/simulation data and experimental laboratory data
- Handle large-scale scientific datasets (e.g., atomistic simulations, DFT/MD, high-throughput campaigns), including efficient storage, metadata, and performant access patterns
- Integrate data from HPC/simulation workflows and laboratory systems (instrument exports, LIMS/ELN where applicable) into curated, analysis-ready datasets
- Define and implement data models, metadata standards, and provenance to ensure traceability, reproducibility, and auditability across simulations and experiments
- Establish robust data quality practices (validation rules, unit consistency, schema controls) and data quality monitoring aligned with operational SLAs/SLOs
- Implement data governance foundations (cataloging, access control, lineage) and enable policy-driven data sharing across teams
- Enable production deployment of ML and NLP/LLMs/VLMs/VLAs etc. applications through strong MLOps/DataOps practices
- Integrate Azure OpenAI and LLM-based services into enterprise applications in a secure and maintainable way
- Implement Infrastructure-as-Code, CI/CD pipelines, and automation for data and AI systems
- Ensure reliability, security, GDPR compliance, monitoring/observability (logging, metrics, alerting), and cost efficiency of cloud platforms
- For LLM/RAG systems: manage embeddings and vector retrieval lifecycle, introduce evaluation and monitoring, and apply prompt/config versioning for repeatable releases
- Provide technical leadership through design reviews, documentation of standards, and mentoring where appropriate
Your qualification
Education & experience
- Degree in Computer Science, Data Science & Engineering, Mathematics, Natural Sciences, or a comparable field
- 5+ years of professional experience in data engineering, cloud engineering, or MLOps
- Hands-on experience deploying ML and/or LLM-based applications in enterprise-grade cloud environments
- Proven experience working with large-scale scientific datasets, ideally in simulation-heavy or R&D environments (materials, chemistry, physics, CAE, computational engineering)
- Experience designing or operating data ecosystems that unify multiple data domains (simulation + experiments) with strong governance and provenance
Technical skills
- Strong Python skills and experience with data processing frameworks
- Strong SQL skills and experience with data modeling for analytics and production use cases
- Proven experience with Microsoft Azure (Data Services, Compute, Storage, Azure OpenAI); AWS/GCP experience is also valued
- Solid understanding of DevOps/DataOps/MLOps practices, CI/CD pipelines, and automation
- Strong experience with containers (Kubernetes), Linux, Git, and system integration
- Familiarity with cloud databases, security concepts, and enterprise integration patterns
- Experience with orchestration tools and operational reliability practices
- Exposure to LLM workflows and RAG architectures; agentic AI experience is a strong plus
- Practical knowledge of distributed data processing and scaling patterns for ingestion/transform/query of very large datasets
- Bonus: familiarity with computational materials science/materials informatics, simulation pipelines, or lab data management (LIMS/ELN/instrumentation exports)
Working style
- 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
We offer
Equal opportunity & data privacy
Fehrmann MaterialsX is an equal opportunity employer. We welcome applications from all qualified candidates regardless of age, disability, gender identity or expression, marital status, nationality, ethnicity, religion or belief, sexual orientation, or any other status protected by applicable law. We process personal data submitted as part of the application process solely for recruitment purposes and in accordance with applicable data protection laws (including GDPR). Your data will be treated confidentially and stored only for as long as necessary for the recruitment process.
What we offer
- Innovative, fast-growing environment with a long-term perspective
- Flat hierarchies, fast decisions, and direct collaboration with management
- Permanent employment with flexible working hours
- Hybrid setup with remote work up to 2 days/week
- Pension scheme, corporate benefits, team events, and a well-connected office location
Are you interested?
How to apply
Send your CV, LinkedIn profile and a short note highlighting relevant experience in data platforms, scientific data (simulation/experimental), and production ML/LLM deployment, etc. to: career@fehrmann.tech
Auf diese Stelle bewerben
About us
The Fehrmann Tech Group is a highly innovative group of companies with two operating divisions:
Fehrmann Windows is the world's leading expert in marine windows and other special pressure-tight windows for plant engineering and building construction. Our windows are tailor-made special products at the highest safety level.
Fehrmann Materials is a world leader in the development of high-performance aluminum alloys for sand casting and 3D printing. In the company's own foundry, safety components, for example for explosion areas or special vehicles, are produced from the company's own alloys.
People & Culture Despite its long history, the family-owned Fehrmann company is as dynamic as a start-up, and its short decision-making processes, innovative spirit and personal, collegial culture attract professionals from all over the world. The subsidiaries of the Fehrmann Tech Group maintain a regular exchange - for mutual inspiration and genuine team spirit.
A great team, a high level of competence and commitment from each individual, and great cohesion - that's what distinguishes us at Fehrmann.
Auf diese Stelle bewerben
Wir freuen uns auf Sie!
Wir freuen uns über Ihr Interesse an FEHRMANN. Bitte füllen Sie das folgende kurze Formular aus. Sollten Sie Schwierigkeiten mit dem Upload Ihrer Daten haben, wende Sie sich gerne per Email an career@fehrmann.tech.
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