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Head of Data Center

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Max Planck Institute

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Location:
Germany , Jena

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Category:
IT - Administration

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Contract Type:
Not provided

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Salary:

Not provided
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Job Description:

The Head of the Data Center will lead the planning, design, implementation, and ongoing development of the Data Center, a newly established central unit at the Max Planck Institute of Geoanthropology. This facility will support researchers in the collection, integration, and analysis of diverse datasets across disciplines such as geography, anthropology, history, archaeology, ecology, sociology, climatology, and biology.

Job Responsibility:

  • Lead the planning, design, implementation, and ongoing development of the Data Center
  • Conceptualize, develop, and execute management workflows
  • Design, implement, maintain, and integrate databases
  • Manage a team of five dedicated staff members
  • Liaise with the Department Directors, independent research group leaders, and other Core Unit heads
  • Develop and implement efficient data acquisition and compilation from diverse field, lab, archival and published sources
  • Develop management strategies to support in-depth exploration of anthropogenic factors in the evolution of Earth systems including diverse modelling approaches
  • Collaborate with researchers across the Institute to support data availability and storage through models, web databases, and scientific publications
  • Work closely with IT service units to ensure that curated datasets are accessible and meet scientific standards for security, compliance, and usability
  • Represent the MPI-GEA Data Center within the Max Planck Society and at international forums, fostering partnerships for data-sharing, responding to emerging technologies, and guiding interdisciplinary initiatives for geoanthropological research and Anthropocene studies

Requirements:

  • Experience in managing multidisciplinary teams in an international and intercultural environment, including technical and scientific staff
  • PhD in Computer Science or a related field, with several years of experience in distributed databases, large-scale data management, and data archiving
  • Proven expertise in handling large datasets, particularly in geospatial and diachronic applications
  • Strong knowledge of data management processes, leadership, and implementation of large-scale systems
  • Experience in planning, designing, and deploying scalable infrastructure for large datasets and databases, including containerization and orchestration technologies such as Docker, Kubernetes, MariaDB, PostgreSQL, Apache Cassandra, Neo4J, etc.
  • Proficiency in semantic data modelling, utilizing technologies such as RDF, XML, JSON-LD, and Linked Open Data (LOD), etc.
  • Experience with data integration and API technologies such as RESTful API, GraphQL, Apache Camel, etc.
  • Experience with data processing & ETL tools such as Apache Hadoop, Apache Spark, Apache Nifi, etc.
  • Background in scientific research with a track record of high-quality publications

Nice to have:

  • Ability to communicate complex technical concepts effectively to both scientific and public audiences
  • Knowledge of data protection, security protocols, and compliance standards
  • Experience with AI/LLM integration for research applications, including RAG systems and vector databases
  • Familiarity with multiple database platforms
  • Experience in data archiving and long-term preservation concepts
  • Experience in data processing and data visualization
What we offer:
  • Annual bonus
  • 30 days' holiday
  • Time off on 24th and 31st December
  • Attractive and family-friendly flexitime
  • Arrangements for remote working
  • Company pension scheme (VBL)
  • Employer subsidy for a job ticket
  • Opportunity for further training
  • Language and health courses

Additional Information:

Job Posted:
February 07, 2026

Expiration:
March 15, 2026

Work Type:
Hybrid work
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