Data Engineer (m/w/d)

Make impact. Be human. Stay curious.

Who we are

Founded in 2006, Rewire is an applied AI company helping organizations reinvent how they work with data and AI. We partner with leading organizations across industries to create scalable business impact by solving complex challenges through data, AI, and technology. Our team of 100+ data scientists, engineers, and change agents operates across Europe from offices in the Netherlands and Germany. Strategic in intent and pragmatic in execution, we combine deep Data & AI expertise with close, committed collaboration.

Collaboration, knowledge sharing, and continuous learning are at the heart of our culture. Through topic communities, expert colleagues, and our internal academy, GAIN, you'll have plenty of opportunities to develop your skills in areas such as Agentic AI, Data Strategy, AI Product Development, and Technology Platforms, while helping clients achieve measurable results.

Join a team that loves learning, solving challenges together, and having fun along the way. Ready to join the ride?

Where you’ll make a difference

• Build robust data & AI infrastructure – design and develop the pipelines, platforms, and systems that power our clients' data-driven ambitions
• Advise clients on technical best practices – translate business needs into sound engineering decisions, bridging the gap between strategy and implementation
• Develop scalable software solutions – write clean, maintainable code that turns complex requirements into reliable, production-ready systems
• Contribute to organizational change – implement data & AI innovations supported by GAIN®, our certified education and training portfolio
• Use technical expertise and communication skills – build scalable data & AI solutions that drive value across the organization
• Collaborate with cross-functional teams from both the client and Rewire – contribute from day one while learning from experienced leaders

What makes us the right choice for you

• Be part of groundbreaking change as we scale a business in a fast-evolving industry with a dedicated international growth strategy, a team of experts, and the support of an experienced investor
• Step into a role where you contribute ideas, support innovation, and help shape how organizations use data & AI to create real impact
• Sharpen your engineering craft – work with modern tech stacks, cloud platforms, and best practices across diverse industries, while growing through hands-on projects and mentorship from experienced engineers
• Join a vibrant, multidisciplinary team that’s ambitious, collaborative, and just the right amount of nerdy – where learning and laughter go hand in hand
• Work alongside clients as a valued team member – building relationships based on trust, shared goals, and face-to-face collaboration whenever it matters most
• Thrive in a culture that values autonomy, curiosity, and bold thinking – where your voice matters, ideas turn into action, and your impact is genuinely recognized and rewarded

What makes you shine

You’re a motivated problem solver and a curious learner – with a passion for turning data & AI into real business impact. You’ll thrive with us if you bring:

• A Master’s degree with excellent results in a quantitative or STEM field (e.g., Computer Science, Artificial Intelligence, Aerospace Engineering, Mechanical Engineering)
• Practical experience through internships, projects, or research – demonstrating your ability to build and maintain data pipelines, design scalable systems, and deliver reliable, production-ready solutions
• A hands-on, growth mindset – you take ownership of your tasks, embrace challenges, and contribute to solutions that create real value
• Strong communication skills and a collaborative spirit – you enjoy working in teams, explaining technical concepts clearly, and supporting a positive, inclusive work environment
• Sharp analytical and technical skills – you excel at both problem-solving and implementing solutions that bridge business and technology
• Fluency in both English and German (written and spoken), and willingness to travel regularly to client sites

If you're hesitating because you don't meet every requirement, don't let that hold you back. Strong candidates often underestimate how well they fit a role. If this opportunity excites you, we encourage you to apply!

Where you’ll work

Many projects require working onsite at client locations throughout Germany (and occasionally Europe) for several days per week . Travel requirements vary depending on the project and client needs .

While our main office is located in Heidelberg, many of our team members are based across various cities in Germany. This reflects our flexible and distributed team structure, which means that relocation is not required.

At the same time, as we continue to grow our Heidelberg office, being located within reasonable travel distance is an advantage and helps facilitate collaboration.

In their own words

“What I really enjoy about my job at Rewire is us being involved from the beginning to the end of implementing complex and innovative AI solutions. We go from designing, to prototyping, to implementing at scale. As a result, working here exposes me to so many aspects of engineering that I find incredibly interesting. Secondly, working with the people here is simply a great deal of fun.” – Jacco Broere, Senior Data Engineer & AI at Rewire

Sound like your kind of team?

Perfect! If you’re ready to kick-start your career and want to make real impact with data & AI, we’d love to hear from you.

Apply now! And let’s see where this journey takes us.

Questions? Feel free to ask them via ----- – we’re happy to chat.

Who you are matters to us!

We welcome all applicants – regardless of gender, background, or LGBT+ identity – because diversity and inclusion are core values for us. We are convinced that a diverse and inclusive workplace fosters creativity, innovation, and success.

We believe diverse teams build better solutions. We are committed to building a more diverse engineering team and particularly encourage women and other underrepresented groups in technology to apply.

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