Medior Data Engineer (Google Cloud Platform)

Remote Relocation
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AI Summary

Join Xccelerated as a Medior Data Engineer and help build a modern data platform on Google Cloud Platform. You'll work on real client projects, receive structured training, and have the opportunity to relocate to the Netherlands.

Key Highlights
Build a modern data platform on GCP
Work on real client projects
Receive 60+ days of structured technical training
Technical Skills Required
Python SQL GCP Spark Databricks Airflow
Benefits & Perks
Competitive salary
Relocation support
25 vacation days
Intensive onboarding
Company laptop and modern tooling

Job Description


Data Engineer


Location: Netherlands (hybrid)

Language: English-speaking environment

Relocation support available


Are you a Data Engineer based in Europe who wants to take the next step in your career?

Would you like to relocate to the Netherlands and work on a modern cloud-based data platform while accelerating your growth through structured, high-level training?


At Xccelerated, we are looking for Medior Data Engineers to help build a state-of-the-art data platform on Google Cloud Platform (GCP). You’ll work alongside experienced consultants and follow an intensive training program designed to rapidly strengthen your technical and professional skills.


💡 Why join Xccelerated?

  • Build a modern data platform from scratch on Google Cloud Platform
  • Work on real client projects while continuously improving your skills
  • Receive 60+ days of structured technical training led by experienced Tech Leads
  • Collaborate with international engineering and analytics teams
  • After one year, transition to a direct contract with the client organization


🚀 Your role as a Data Engineer

As a Data Engineer at Xccelerated, you will help lay the foundation for data-driven decision making.

You will:

  • Design, build and maintain scalable data pipelines on GCP
  • Develop components of a modern data platform supporting analytics and machine learning use cases
  • Ensure reliable integration between data sources, pipelines and data models
  • Work closely with engineering, analytics and cloud teams on architecture and implementation
  • Continuously improve data quality, reliability and performance


👩 💻 Who we’re looking for

You’re a hands-on engineer who enjoys learning by doing and working on meaningful data challenges.

You bring:

  • A Bachelor’s or Master’s degree in Computer Science, Data, Cloud or a related field
  • 3–4 years of experience as a Data Engineer (or similar role)
  • Strong skills in Python and SQL
  • Experience with at least one public cloud: GCP, AWS or Azure
  • Familiarity with modern data tools such as Spark, Databricks or Airflow
  • A proactive mindset and willingness to relocate to the Netherlands
  • 🎁 What we offer

    At Xccelerated, we offer more than just a job — we offer a career accelerator in Data & Cloud.

    • Competitive salary based on experience
    • Relocation support for candidates moving to the Netherlands
    • 25 vacation days
    • Intensive onboarding with a hands-on technical bootcamp
    • Weekly technical training, mentoring and innovation days
    • Company laptop and modern tooling
    • Great lunches, excellent coffee and a well-stocked snack bar
    • Hybrid working model and an international team


    🌍 About Xccelerated

    Xccelerated (part of the Xebia Group) is a tech accelerator focused on developing the next generation of Data & Cloud professionals.

    You’ll work four days per week on real client projects and spend one day per week on structured training, coaching and innovation. After one year, you’ll have the opportunity to join one of our partner companies directly.


    📩 Interested in relocating to the Netherlands?

    We’d love to hear from you.

    📧 Contact: Samantha Goncalves – sgoncalves@xccelerated.io

    📞 Phone: +31 6 13889770


    📋 Application process

    1. Introductory interview with one of our recruiters
    2. Technical assessment & presentation with one of our Tech Leads (remote)

    We aim to complete the process within 1–3 weeks, depending on availability.


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