Back to jobs

    About Experis

    Our client is an internationally operating technology organization that develops and produces high-quality industrial solutions. Innovation, digitization, and data play an increasingly important role within the organization. To further shape this transformation, investments are being made in a new Data & AI team where you can contribute from the start to the technical direction, architecture, and development of new data products. The culture is informal, professional, and focused on collaboration, knowledge sharing, and personal development.

    About the Position

    Introduction

    Are you looking to play a key role in building a modern data platform within an innovative industrial environment? As a Data Engineer, you will ensure that large volumes of machine and business data are transformed into reliable information, enabling dashboards, AI solutions, and predictive analyses.

    Responsibilities

    As a Data Engineer, you will be responsible for designing, developing, and managing a scalable data platform on which future data and AI solutions will be built. Your tasks will include:

    • Designing, developing, and maintaining scalable data pipelines in cloud and edge environments.
    • Processing, validating, and modeling industrial sensor data and time-series data.
    • Unlocking data via industrial protocols such as OPC UA and MQTT.
    • Integrating and enriching data from various sources, including ERP systems and operational systems.
    • Setting up and managing a central data lake and robust data architecture.
    • Ensuring data quality, data validation, and consistent data models.
    • Collaborating with AI specialists, software developers, and engineers on innovative data and AI solutions.

    Requirements

    • HBO (Higher Professional Education) or WO (University) degree in Computer Science, Data Engineering, Data Science, or equivalent.
    • Demonstrable experience with Python and SQL.
    • Experience with developing data pipelines.
    • Experience with Microsoft Azure and data modeling.
    • Experience with industrial data, OPC UA, MQTT, and time-series data.
    • Proficiency in both Dutch and English.
    • Dutch language skills preferred (working knowledge required for this role based in the Netherlands).

    Nice to Have

    • Experience with Power BI or comparable BI tools.
    • Experience with ERP data and affinity for industrial automation or OT environments.

    Benefits

    • Salary indication between €5,000 and €6,600 gross per month, depending on knowledge and experience.
    • Hybrid working model.
    • Generous leave arrangement including ADV days.
    • Attractive bonus scheme.
    • Pension scheme with a substantial employer contribution.
    • Extensive training and development opportunities.
    • Significant room to contribute to building a new Data & AI team and influencing the technical architecture.

    About Company

    Our client is an internationally operating technology organization that develops and produces high-quality industrial solutions. Innovation, digitization, and data play an increasingly important role within the organization. To further shape this transformation, investments are being made in a new Data & AI team where you can contribute from the start to the technical direction, architecture, and development of new data products. The culture is informal, professional, and focused on collaboration, knowledge sharing, and personal development.

    How to Apply

    Please apply through the provided link.

    Apply Now

    Your data is only shared with Experis

    Location

    CULEMBORG

    Type

    Permanent, Fulltime

    Keywords

    Data Engineering
    Python
    SQL
    Microsoft Azure
    Data Pipelines
    OPC UA
    MQTT
    Time-Series Data
    Data Modeling
    AI
    Industrial Automation
    ERP
    Verified Company

    Data Engineer

    Experis