Job Properties
  • Job Type
    Full-time Position
  • Background
  • Languages
  • Experience Required
    3 - 5 Years
  • Degree Required
    • Province
      Postcode 5621 in Eindhoven
    • Date Posted
      January 08,2021
    • IMG_6430
    • Career Consultation
    • CV CHECK
    • internship package
    • Premium Package

    DataOps/DevOps Engineer

    DataOps/DevOps Engineer

    As a DataOps / DevOps engineer at, you ensure that applications are well integrated, perform optimally, are stable and secure. Together with our Data Scientists and the clients, you think about how to manage large datasets and streams. You are responsible for the implementation of DataOps, such as managing data-pipelines, setting up local and cloud deep-learning infrastructure.

    At, you will work in a multidisciplinary team with data scientists, machine learning engineers, a technical team lead and a project manager. From our office in Eindhoven, you tackle complex challenges in the domain of personalisation. Together, you ensure that the machine learning modules (such as time series for automatic pattern recognition, product and style recommenders, NLP and Vision) perform optimally with the applications of our clients. At, we work with state-of-the-art technologies, regularly research new techniques and developments, build proofs-of-concept and ensure that our clients are at the forefront of personalisation. We accelerate digital personalisation.

    Your job activities

    • You are responsible for robust and real-time data pipelines for large data streams
    • You are responsible for managing local and cloud deep-learning infrastructure
    • Working in a multidisciplinary Agile Scrum team
    • In collaboration with the team, you develop, deploy, run and improve digital solutions for well-known companies

    Are you the DataOps/DevOps Engineer we're looking for?

    • You have a minimum of 3-year experience;
    • You have knowledge of DevOps and CI/CDE;
    • You have knowledge of AWS, Jenkins and GIT. Knowledge of Azure or Google Cloud is a plus;
    • You are familiar with monitoring and logging;You have knowledge of Docker or Kubernetes;
    • Python is familiar territory, or you have experience with similar languages like Java or C#. You are going to work with Python a lot, so it is of utmost importance that you would be willing to learn it (or are well versed in it already);
    • Affinity with Data Science is a plus.

    Don't worry if you have not mastered everything yet. At, we invest in personal development and capabilities. You will certainly have time to learn and further develop your skills.


    With more than 30 specialists, we empower fashion, beauty and lifestyle brands to understand their customers’ behaviours, develop personalisation solutions and create interactive digital experiences. With Data Science, Machine and Deep Learning, 3D visualisation, Interaction Design and business strategy, we make sure our clients become digital frontrunners. We accelerate digital personalisation. is a professional scale-up with growth ambitions. Due to scale-up dynamics, there’s a diverse range of tasks with great responsibilities. Working at is therefore varied with plenty of opportunities for personal growth.

    What offers you

    • Flexible start times, you can start between 08.00am and 09.00am;
    • Learning is part of your responsibilities, you can spend 10% of your working time on personal development. This includes certifications, courses and conference visits;
    • A generous allowance for health insurance and a pension contribution;
    • Free company lunch & unlimited fruit;
    • An international working environment in which innovative solutions are realised, with the use of state of the art technology, in the field of Artificial Intelligence and 3D Visualisation.

    Does the vacancy of DataOps/DevOps Engineer at appeal to you?

    Introduce yourself to us by applying now. We will respond to your application within 5 working days. Do you have questions about this vacancy before applying? Call or WhatsApp Denise on 06-18 74 52 86 or send an email. She is happy to help you!

    Parttime uren: 32-40 per week

    Soort dienstverband: Fulltime, Parttime, Tijdelijk, Onbepaalde tijd


    • ma-vr


    • Ja

    Voorzorgsmaatregelen tegen het coronavirus:

    • Op afstand solliciteren
    • Virtuele vergaderingen
    Open Positions from
    • There are no eligible results.

    Related positions