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  • Data/ML Platform Engineer
    New
    Data

    Data/ML Platform Engineer

    Type of work
    Full-time
    Experience
    Senior
    Employment Type
    B2B
    Operating mode
    Remote

    Tech stack

      English

      C1

      AWS

      master

      Spark

      master

      Databricks

      master

      Python

      master

      XGBoost / LightGBM

      advanced

      Docker

      advanced

      Terraform

      advanced

      Kubernetes

      advanced

      MLflow

      advanced

      Apache Airflow

      advanced

    Job description

    Online interview

    As a recruitment company, DCG understands that every business is powered by experienced professionals. Our management style and partnership approach enable us to meet your needs and provide continuous support. Due to our ongoing growth and the large number of recruitment projects we undertake for our partners, we are currently looking for: Data/ML Platform Engineer


    Responsibilities:

    • Develop and optimize ML Platform features
    • Refactor and translate data products
    • Design and manage data pipelines (Python, Spark)
    • Work with AWS, Databricks (Lakehouse, ML, MLflow)
    • Implement ML models (XGBoost, LightGBM, Torch)
    • Ensure data quality (Parquet, Delta Lake)
    • Lead discussions and guide teams
    • Drive projects independently


    The Data Engineer would work on building and maintaining a new Machine Learning Platform as part of the Data Foundation Team, which develops and supports the core Data Platform, a leading classifieds site in the Netherlands


    Requirements:

    • 5 years of hands-on experience in using Python, Spark
    • Experienced in AWS Cloud usage and management
    • Experience with Databricks (Lakehouse, ML, Unity Catalog, MLflow)
    • Experience using various ML models and frameworks such as XGBoost, Lightgbm, Torch
    • Fundamental understanding of Parquet, Delta Lake and other data file formats
    • English level: B2, C1

    Nice to have:

    • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
    • Experience with orchestrators such as Airflow and Kubeflow
    • Proficiency on an IaC tool such as Terraform, CDK or CloudFormation

     

    Offer:

    • Private medical care
    • Co-financing for the sports card
    • Constant support of dedicated consultant
    • Employee referral program
    Undisclosed Salary

    B2B

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