Data Vault Modeller - European Union - Oxford Global Resources

    Oxford Global Resources
    Oxford Global Resources European Union

    1 hari yang lalu

    Teknologi / Internet
    Deskripsi

    ** Freelance opportunity **

    Start Date: ASAP

    Length Of Assignment: 6 months (Multi-year project)

    Location(s) and expected travel: Fully remote

    Title: Data Vault Modeler

    Client have a new Data Platform. Need someone to come in who can do the transformation and hit the ground running. Looking for a Data Vault Modeler who has experience with transformation, DBT, Python, SQL and Databricks.

    • Deep domain expertise in scientific data: chemistry, biology, life sciences, biotechnology, or material science research data
    • Proven experience designing conceptual, logical, and physical data models tailored to scientific and experimental datasets (e.g., lab results, assay data, molecular structures, experimental workflows).
    • 5–7 years' professional experience in data modelling, including at least 3 years of Data Vault modelling in complex or regulated environments.
    • Strong proficiency in SQL with hands-on expertise in Databricks or comparable data warehousing platforms.
    • In-depth knowledge of data warehousing, ETL processes, and data integration, with proven ability to work with large, diverse, and complex scientific datasets.
    • Ability to create feasible, scalable, and reusable data models to support ongoing R&D, ensuring quality, consistency, and compliance with scientific standards (e.g., FAIR principles).
    • Demonstrated ability to translate scientific research requirements into robust data models, bridging the gap between researchers, data architects, and engineers.
    • Strong understanding of data governance, metadata management, and quality controls in scientific or R&D environments.
    • Excellent communication and collaboration skills to engage effectively with both technical teams and scientific stakeholders.

    Experience contributing to best practices, modelling standards, and architectural discussions in a data-driven R&D context


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