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Søborg

    Data Engineer - Søborg, Danmark - Novo Nordisk A/S - VTx

    Novo Nordisk A/S - VTx
    Novo Nordisk A/S - VTx Søborg, Danmark

    for 3 uger siden

    Novo Nordisk A/S - VTx background
    Fuldtid
    Beskrivelse

    Do you want to join a vibrant Data & Modelling team where innovation meets excellence, and play a crucial role in creating the foundational data ontology, infrastructure, and pipelines for machine learning & mathematical modelling digital products that revolutionize clinical drug development? If you're up for it, this position could be a perfect fit for you. Start today and embark on a career-changing journey.

    The Opportunity
    In this role, you will leverage your strong analytical and technical skills to explore diverse datasets, extract valuable insights to enhance our machine learning and mathematical modelling solutions. You will be responsible for designing, implementing, and evolving our cloud-based data infrastructure and pipelines for large-scale ML and Mathematical Modelling products. Working alongside Data Engineering and Data Science peers, you will be an essential part of a product team, collaborating with a diverse group of professionals to deliver digital solutions that promote smarter data utilization and ultimately enhance the quality of life for individuals dealing with chronic illnesses.

    Desired Skills
    To excel in this role, you must possess excellent interpersonal and communication abilities to drive outcomes collectively with your team members. Our team thrives on a positive work environment, and we rely on your active engagement and participation to maintain this atmosphere.

    It would be beneficial if you meet any of the following criteria:

    • A master's or PhD in Engineering, Computer Science, Data Science, Mathematics, Statistics, Physics, Economics, or similar field, coupled with a robust technical and analytical acumen.
    • A methodical approach to analyzing datasets, identifying ways to add value, and integrating them into the existing data framework.
    • Over 3 years of experience in a data engineering role, specializing in designing and implementing cloud-based data infrastructure and pipelines, particularly in a mature machine learning environment with MLOps practices.
    • Proficiency in programming languages, especially Python, and a commitment to adhering to software development best practices and CI/CD methodologies like Azure DevOps.
    • Fluency in SQL and a fundamental understanding of databases.
    • Technical proficiency in data engineering tools and technologies such as API integrations, database migrations, ETL/ELT processes, and various open-source tools.
    • Hands-on experience with Docker, preferably in Kubernetes environments, is a plus.
    • Familiarity with Infrastructure-as-code (IAC) principles, for instance, using Terraform or Azure Resource Manager (ARM) templates.
    • Background in the pharmaceutical or medical sector is advantageous.

    About the Team
    The Data & Modelling department is home to a dedicated team of skilled and motivated data engineers and data scientists who play a crucial role in developing innovative digital solutions across the clinical drug development spectrum. Situated within the Development organization, we oversee global clinical drug development activities from inception to market entry. Our responsibilities include providing medical and scientific documentation for regulatory submissions while upholding global standards, regulatory compliance, and ethical business practices. Our office is based in Søborg, Denmark.



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