Data Engineering Intern - February 2027

Hunter-Douglas---Talent-Programs; Rotterdam; On-site; EUR 6,700 - 7,800; Part time

Benefits offered by this job

Monthly stipend €650

Job summary

Hunter-Douglas---Talent-Programs is seeking a Data Engineering Intern in Rotterdam to apply technical skills to real business data within the EMEA Commercial Operations environment.

You will work with Python and SQL to investigate data quality, support data flows, and document results under a mentor.

Hybrid arrangement with 4 days in the Rotterdam office and 1 day from home; monthly stipend of €650 to support your work.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Data quality

Education

Bachelor’s or Master’s degree in AI/Data Engineering, Computer Science, Analytics

Tools

BigQuery

Job description

Start Date: February 2027

About the role

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

What will you do?

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.

Who are we looking for?

We are looking for someone who:

• 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.

What do we offer?

• Hands-on experience working with real customer and operational data.
• The opportunity to apply and further develop your Python and SQL skills.
• Exposure to data flows, data quality, integration and reporting in an international business environment.
• Regular support and guidance from your project mentor and the EMEA Commercial Operations data team.
• Opportunities to interact with Customer Experience colleagues and business users and understand how data supports their needs

Hybrid working arrangement: 4 days work for the office, 1 day work from home

Monthly allowance of €650

This is a hybrid position, requiring an on site presence at our Rotterdam office for 4 days per week.

Do you have the right to work in The Netherlands, without requirement for sponsorship?