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Salary
$54k – $140k per year (Estimated)
Location
In office
Seniority
Middle · 4+ years exp
Overview
Company
Impact
Profile match
Xebia is a global, award-winning, AI-first consulting, software engineering, and training company. We shape tomorrow with AI today helping organizations turn AI strategy into production-ready solutions that drive real transformation, faster.

Does This Sound Like You?

You are an engineer with a pragmatic attitude. You are comfortable with the responsibility that comes with putting systems into production. You switch easily between scripting and structured programming in typed programming languages, and you’re familiar with software engineering, cloud, provisioning, streaming, and automation. You know how to build robust, scalable systems ready for real-world use.

The Xebia Data Division

Xebia Data is one of the divisions of Xebia Netherlands, which is renowned for its expertise in building strong Data and AI practices to deliver value to our clients. In the past, our team has predicted daily bread demand for millions of loaves, built advanced energy-saving algorithms at a national scale, and established data innovation labs at large multinational companies!

You’ll work with the sharpest data professionals in Europe, people who are not only technically brilliant but also generous with their knowledge. We enjoy the benefits of being part of a large organization while maintaining the energetic atmosphere of a scale-up. Our commitment to our community is strong; we are deeply rooted in the local landscape.

What You’ll Be Doing To Make Organizations Data-Driven

You will be responsible for implementing foundational data systems and developing cloud infrastructure to store, transform, and process data at scale. Always with security, reliability, and future growth in mind.

You use your communication skills as much as your technical skills. You explain your design choices, align stakeholders, and help client teams make confident and informed decisions about their data landscape. You will be surrounded by experts from diverse fields and learn from different environments and industries. It’s not always easy, but it is always rewarding.

You will work on projects of varying lengths. Some are three weeks, some are one year, most are in between. Every project is different, as is every client. You'll work in mixed teams of Xebians and client engineers, contributing directly to the backbone that powers data products.

When on-site with clients, you may encounter something very difficult to solve. At Xebia we work as a team and we've got your back. Everyone is just a message away and ready to help! We say People First, and we mean it.

Requirements

What are we looking for

The Data Engineer role is a senior position integral to our teams, so we ask for at least 4 years of relevant work experience. That said, we care more about impact than years. If you have unique achievements, like contributing to open-source projects or founding your own startup, we encourage you to apply, no matter your experience level.

Technical skills matter, but so does the culture we create together. We’re looking for like-minded people who genuinely enjoy taking ownership, sharing knowledge, and contributing in an environment where everyone can feel welcome, included, and supported.

Please note: this role is only open to candidates who are professionally proficient in both English and Dutch.

This is your dream job if….

You enjoy working with modern new data (infrastructure) tools such as Airflow, Dagster, Spark, Flink, Iceberg, Docker, Terraform, and more!

You understand the importance of cloud (any of AWS, Azure, or GCP) and know your way around, or want to learn.

You like working for different clients and enjoy learning in new environments and meeting new people on a regular basis in various locations.

You enjoy sharing knowledge. We write, speak, and teach because it's part of who we are.

This is not your dream job if….

You do not want to become an authority. You are hesitant to take a proactive approach and bring your ideas forward.

You don't like working under pressure to get things done in the best way possible.

You do not like coding, scripting, templating or working with open-source technology

You prefer to work alone and get drained from having to explain whyyou made certain technical choices.

The Xebia Way

We believe in building a respectful and collaborative atmosphere where everyone can shine. Picture this: a team of curious minds, always eager to learn and share ideas. We are especially proud of our generous educational budget and our “Hack-What-You-Want” Fridays, where you can dive into projects that excite you. We champion our consultants to grow into advisors and thought leaders, whether that’s publishing blogs, speaking at events, or shaping conversations about Data & AI.

Xebia is a Great Place to Work certified organization driven by technology evangelists in Data and AI. Our global presence has a proven record of success across industries.

Our Commitment to You

  • Enjoy free healthy lunches and not-so-healthy drinks/snacks at our offices.

  • Get a lease car or mobility budget

  • Pick whatever laptop or MacBook you like!

  • Choose your phone

  • You can work on that innovative idea of yours next to other colleagues during our monthly Xebia Data Fridays.

  • A modern and dog friendly office in Amsterdam, Oostenburg.

  • Variety in clients and challenges. No boring maintenance, always learning

  • You can build/test/experiment with anything you want in our sandbox environments in GCP, AWS, and Azure

  • Pension plan.

  • Fun events and activities like ski trips, BBQs, cooking workshops and more!

  • Career strategy support to help you scale your skills and leadership

  • Unlimited book budget

Our core values are people first, quality without compromise, knowledge sharing,and customer intimacy. At Xebia Data, you will find like-minded colleagues who are at the forefront of their field and have the courage to go off the beaten track; they are the people who make organizations move.

Sounds interesting? Let’s talk.

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