Workingstudent Marketing Data Engineer

As a working student in the Marketing Acceleration team, you will operate at the intersection of marketing and data. You will deliver impact through data-driven marketing insights and AI-driven solutions across Deloitte.

Be the true you

You are hands-on and proactive, with a strong affinity for Digital Marketing. You keep up to date with the latest developments in the field, such as generative AI and AI-driven tools. In addition, we are looking for the following experience:

• Currently pursuing a university degree (Bachelor from the 3rd year or Master) in Marketing, Business, Information Systems, Engineering or a related discipline;
• Fluent in spoken and written English;
• Basic knowledge of automation, system integration, and data analysis;
• Familiarity with APIs, ETL/ELT processes and general data-pipeline concepts;
• Interest in marketing data and analytics; experience with platforms such as Adobe Analytics, Marketo or LinkedIn Ads is an advantage;
• Experience with data-aggregation platforms (Funnel.io, Supermetrics, Adverity, etc.) is a plus;
• Experience with BI tools (Power BI, Tableau) is an advantage;
• Strong problem-solving skills and meticulous attention to data quality.

What impact will you make?

Please note: for this role, it is important that you live and study in the Netherlands!

As a Marketing Data Engineer working student, you are part of the Marketing Acceleration team and support internal stakeholders with the guiding principle: Together makes progress. You ensure marketing data is reliable, well-structured and accessible so colleagues can run targeted campaigns and reach the right audiences. Through robust data pipelines, integrations, and dashboards you help increase client engagement and make impact measurable. You will provide the data needed for social media, publications, digital events, and AI-driven analyses.

How do you do this?

• Build and maintain data pipelines that connect marketing platforms to our data hub and BI dashboards;
• Ensure data quality, consistency and thorough documentation (including version control and logging);
• Prepare, clean and structure marketing datasets for machine learning and automation;
• Contribute to prototypes of AI-driven tools (for example market-analysis agents or campaign-optimisation bots);
• Support the integration of new data sources, APIs and automation scripts, and resolve data discrepancies;
• Help test and roll out AI projects and keep up to date with new tools and best practices in data engineering and marketing analytics.

Benefits

• You will receive a profit-sharing bonus, on top of your fixed salary.
• Continue professional growth. Join our development program.
• A work-from-home office setup allowance to make sure you have everything you need for an ergonomically designed workstation and internet allowance.