What are you going to do?
Imagine joining a team full of talent and ambition. Together, you and the commercial team identify a challenging project that matches your preferences and expertise. Whether it involves designing a data architecture for a mobility platform, optimizing energy usage through smart data solutions, or building a real-time analytics solution for a financial services organization, every project offers the chance to take your skills to the next level.
We like to move quickly and work in short, efficient sprints, both at client locations and on internal consultancy projects. You will handle data processing and integration and work closely with colleagues and partners to monitor progress. Thanks to your experience and expertise, you will advise clients on how data can be used more intelligently and efficiently to improve business processes.
What are you bringing?
- A completed higher professional or university degree in a technical field
- At least five years of relevant work experience
- Fluent Dutch, both spoken and written (C1 level)
- Expertise in programming languages such as Python, Java, Scala, or Rust, as well as SQL
- Experience with data platforms and cloud technologies such as AWS, Azure, or Google Cloud
- Experience with ETL/ELT processes
- Expertise in big data solutions such as Databricks, BigQuery, Snowflake, Synapse, or Fabric
- Familiarity with data modeling techniques such as Kimball
- Experience with CI/CD or DevOps principles and tooling such as GitHub Actions or Jenkins
- Eagerness to learn and share knowledge with colleagues and clients
- The ability to advise and guide others in designing and implementing scalable data processes
- Excellent communication skills and the ability to make and honor clear agreements
It is a bonus if you are familiar with:
- Dashboard tools such as Power BI, Tableau, or Qlik
- Data workflow tools such as dbt
- Docker, Kubernetes, AWS Fargate, Azure Container Instances, or GCP Cloud Run
- Infrastructure-as-Code tooling such as Terraform or Bicep
You like this
✅ Data processing
Working with data is second nature to you. Whether you are setting up your own data projects in your spare time or trying out new tools and techniques to use data more intelligently, you enjoy continuous learning and experimentation.
✅ Problem solving
You have a passion for solving complex data problems. Analyzing large datasets and designing creative, efficient solutions for technical challenges gives you energy.
You don’t like this
🚫 Monotonous routines
You do not simply follow the beaten path. You enjoy trying new approaches and coming up with fresh ideas that make work smarter and more efficient for yourself, your team, and the client.
🚫 Poor data infrastructure
Poorly structured databases or outdated pipelines without clear documentation are frustrating to you. You quickly see where improvements are possible and take action thoroughly.
Application process
🔎 You are applying
We carefully review your application and contact you within 5 working days to schedule an initial meeting.
🫲🏻 The first introduction
During the first meeting, we discuss your experience and the content of the role, and tell you more about the organization and the way we work.
🧑🤝🧑 Technical interview
After the first meeting, there will be an interview with one of our consultants. This gives you the chance to get to know someone from your future team right away, while we dive deeper into your experience and what you bring.
🏹 Final conversation
After these conversations, you will have a good understanding of the organization. During this final meeting, we go through the employment contract together and translate the legal language into clear, understandable terms.
📝 The moment of truth
Once all your questions have been answered and you agree to everything, we can move forward with signing the employment contract.
