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(Senior) Data Engineer (mfd)


Job Location:

Hamburg - Germany

Monthly Salary: Not provided by the employer
Posted: 29 September 2026 (22 hours ago)
Application Deadline: 27 December 2026
Vacancies: 1 Vacancy

Job Summary

Your tasks
Your role
As a Senior Data Engineer you will own key parts of our data ecosystem and platform capabilities that enable advanced analytics machine learning and NLP/LLM applications. Your focus is to make data usable at scale: well-structured traceable governed and accessible for downstream AI/ML use cases and enterprise applications. You will work closely with the materials experts simulation teams lab stakeholders and AI/ML colleagues to translate product goals into robust data products and production-ready solutions.

Key responsibilities
  • Design implement and operate scalable data pipelines for structured and unstructured data including batch processing and event-driven or streaming workflows where needed.
  • Develop cloud-native and on-premises 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
  • Work with the DevOps team to implement and improve CI/CD pipelines deployment automation and infrastructure requirements for data and AI workloads.
  • Ensure reliability security GDPR compliance monitoring/observability (logging metrics alerting) and cost efficiency of cloud platforms
  • Provide technical leadership through design reviews documentation of standards and mentoring where appropriate
Your qualification
Your profile
Education & experience
  • Degree in Computer Science Data Science & Engineering Mathematics Natural Sciences or a comparable field
  • 3 years of professional experience in data engineering.
  • Experience designing or operating data ecosystems that unify multiple data domainswith 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
  • Familiarity with Vector databases semantic search text chunking strategies LLM workflows and RAG architectures.
  • Experience with message brokers and asynchronous processing patterns; practical experience with RabbitMQ is a strong plus
  • Proven experience with Microsoft Azure (Data Services Compute Storage Azure OpenAI); AWS/GCP experience is also 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 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
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
Send your CV LinkedIn profile and a short note highlighting relevant experience in data platforms data pipelines and scientific data (simulation/experimental) etc. to:
About us
The Fehrmann Tech Group is a highly innovative group of companies with two operating divisions:
Fehrmann Windows is the worlds 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 the companys own foundry safety components for example for explosion areas or special vehicles are produced from the companys 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 - thats what distinguishes us at Fehrmann.

Required Experience:

Senior IC


About Company

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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 maßgeschneider ... View more

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