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 AIdriven tools (for example marketanalysis agents or campaignoptimisation 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.
Qualifications :
You are handson 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 AIdriven 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 datapipeline concepts;
Interest in marketing data and analytics; experience with platforms such as Adobe Analytics Marketo or LinkedIn Ads is an advantage;
Experience with dataaggregation platforms ( Supermetrics Adverity etc.) is a plus;
Experience with BI tools (Power BI Tableau) is an advantage;
Strong problemsolving skills and meticulous attention to data quality.
Additional Information :
Please note: for this role it is important that you live and study in the Netherlands!
As a 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 wellstructured 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 AIdriven analyses.
Remote Work :
No
Employment Type :
Full-time
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