Data Engineering Intern - February 2027

Are you studying Data Engineering, Computer Science, AI or Analytics and looking for an internship where you can apply your technical skills to real business data?

As our Data Engineering Intern, you will join the EMEA Commercial Operations environment and help make customer and operational data more reliable, accessible and well documented. Working with the data team and with guidance from your project mentor, you will support selected data flows, investigate data-quality issues and contribute to practical improvements that support reporting and digital tools

During your internship, you will:

• Support data flows that bring information into reporting and business tools.
• Check data for completeness and accuracy and investigate routine data-quality issues.
• Use Python and SQL to investigate data issues and validate results.
• Write and improve SQL transformations and data-quality checks.
• Build small, approved improvements that prepare data for business use.
• Test changes, document results and work with your mentor before changes are released.
• Maintain clear documentation and handover notes.
• Follow data privacy and access procedures when working with data.
• Work with the EMEA Commercial Operations data team and, where relevant, Customer Experience colleagues and other business users.

• Currently pursuing a Bachelor’s or Master’s degree in AI/Data Engineering, Computer Science, Analytics or a related field.
• Familiar with Python and SQL and interested in how data is collected, organised and used.
• Familiar with the basics of relational data, data quality and version control.
• Careful, curious and well organised.
• Comfortable investigating problems and proposing practical solutions.
• Able to document your work clearly and ask for guidance when needed.
• Confident communicating in written and spoken English.
• Someone who enjoys working both independently on assigned tasks and collaboratively with others.

Experience with BigQuery or other cloud tools is helpful, but not required. University projects, thesis work or previous relevant internship experience are also welcome.