Job Description

Are you a curious and proactive student with an interest in data engineering, cloud technologies, and modern data platforms? Do you get energy from solving problems, improving processes, and working in a professional environment? Then we are looking for you!

As a working student, you will support our Data & Analytics team in developing, maintaining, and governing our enterprise data platform. You will work alongside experienced data engineers, architects, and governance specialists to help build reliable data pipelines, organise datasets, and contribute to the quality and security of our data landscape.

What will you be doing as a working student Data Engineer?

• Support the development and maintenance of data pipelines across our cloud data platform;
• Assist in transforming, organising, and optimising data using modern data engineering practices;
• Help implement and support the Medallion architecture across the data environment;
• Contribute to the operational processes of the data platform, including quality checks, governance tasks, and metadata updates;
• Support automation and workflow improvements using DevOps practices;
• Help prepare reports, documentation, and overviews on platform usage and data quality;
• Actively contribute ideas on how we can make data processes smarter, more scalable, and more efficient.

This vacancy is perfect for you because you:

• Are currently pursuing a hbo or wo study, preferably in a field related to IT, data science, computer science, engineering, or business & IT;
• Are available at least 2 to 3 days per week;
• Work accurately, are structured, and enjoy understanding how systems and data connect;
• Are interested in data engineering, cloud platforms, and data governance;
• Have a good command of English (Dutch is beneficial but not required);
• Have a proactive attitude and enjoy being part of a professional team.

And importantly — you have at least two of the following foundational skills and are willing to learn the rest:

• Python
• PySpark
• SQL
• Azure DevOps
• Data governance concepts (e.g., metadata, classifications, Purview)
• Identity & access concepts (e.g., Entra ID / RBAC)
• Cloud data concepts (lakes, pipelines, warehouses)
• Modern data architectures, such as the Medallion model

Experience with Microsoft Fabric (OneLake, Lakehouse, Data Factory) is not expected — we will teach you.

We fully recognise that students may not yet have all the required skills — what matters is your enthusiasm, foundational knowledge, and willingness to learn.

Who are we?

Loyens & Loeff offers unique support as One Firm: Law & Tax to (inter)national companies, financial institutions, investors, and high‑net‑worth individuals. More than one thousand lawyers, tax advisors, and civil-law notaries work together to deliver smart and efficient solutions within Dutch, Belgian, Luxembourgish, and Swiss law. From our home markets and offices in London, New York, and Paris, we pay special attention to Private Equity & Funds, Real Estate, Life Sciences & Healthcare, and Energy & Infrastructure. We strive to be a diverse and inclusive organization and believe it is important that everyone can be themselves.

We offer you:

This position is available as soon as possible and for a period of six months. It is a great opportunity to gain valuable practical experience in a dynamic and professional working environment. It also offers a wonderful opportunity to develop your career at a leading international firm, operating at the top of the market. You will work in a fantastic location in a driven team, where high-quality service, team spirit, and collegiality are paramount. Next to that:

• A very attractive package of employment conditions;
• Plenty of room for self-development;
• Flexibility in working hours;
• A supportive environment where you will learn modern data engineering technologies and best practices;
• The chance to contribute to a rapidly developing data platform at the heart of the organisation.

The team works from the Amsterdam office.

Apply for this vacancy

Are you interested? Apply via the ‘apply’ button. For questions about the recruitment process, you can reach out to Sophie Ravesteijn (Talent Acquisition Advisor) at sophie.ravesteijn@loyensloeff.com.

AI has become an integral part of the application process. We therefore encourage the responsible use of AI throughout your application with Loyens & Loeff. AI may be used as a supportive tool, but your motivation and personality should always remain leading. Read more about our AI policy in our FAQ.