Good Data Engineers recognize good engineering.

Not the technology used.

But the choices that are made. The quality of the code. The architecture. And the colleagues you work with.

As a Senior Data Engineer you know that a robust data platform does not arise by chance. It is the result of engineers who take the time to design things well, dare to be critical of each other and consider quality more important than the fastest solution.

Do you like working in such an environment?

Then this might be an interesting next step.

For one specialized Data & AI consultancy organization I am looking for one in Utrecht Senior Data Engineer.

An environment where craftsmanship is central

This organization believes that good data solutions start with excellent software engineering.

Not by carrying out as many projects as possible at the same time, but by making the right technical choices. By building scalable solutions that last for years. And by giving engineers the space to continuously improve in their profession.

You work together with experienced Data Engineers, Machine Learning Engineers and Software Engineers who use the same professional standards. Substantive discussions about architecture, cloud-native engineering, software design and new technologies are part of daily practice here.

Sharing knowledge is not an extra, but part of the culture. Every Friday there are technical knowledge sessions, colleagues write blogs, speak at (inter)national conferences and experiment with new technologies.

About 90% of your time you work on customer projects. The remaining time is deliberately reserved for innovation, certifications or your own technical initiative.

What are you going to do?

You design and build modern, cloud-native data platforms for organizations where data plays a business-critical role.

You are involved in, among other things:

• Designing and building scalable data platforms.
• Developing ELT and ETL pipelines.
• Writing production-ready Python code.
• Developing cloud-native data solutions.
• Advising on architecture and technical choices.
• Guiding less experienced engineers.
• Collaborating with Data Scientists, Machine Learning Engineers and Software Engineers.

You combine hands-on engineering with technical advice and therefore have direct influence on the solutions you build.

For whom is this a logical step?

This role is a good fit if you recognize yourself in one or more of the points below:

• You want to work on more technically complex data issues.
• You want to build data platforms that will last for years.
• You are looking for an environment with experienced engineers from whom you can learn every day.
• You want to have more influence on architecture and technical choices.
• You find software engineering at least as important as data engineering.
• You want to continue developing yourself technically in the coming years.

This role is probably less appropriate if...

...you are mainly looking for routine, standard implementations or an environment in which speed is more important than quality.

This organization suits engineers who are proud of their profession, dare to be critical and are energized by complex technical challenges.