Working Student, Data Engineering (Vendor)

We are on the look out for a Working Student Data Engineering for our Vendor Data Team where your work will directly support how vendors are discovered managed and analyzed at scale. Youll be working mostly on Vendor Sales & Operations topics contributing to data-driven initiatives such as vendor lead generation vendor management and competitor analysis.

As part of our Vendor Team youll be the driving force behind the success of thousands of restaurants shops and local businesses. Your contributions will empower vendors with advanced tools to manage their operations boosting their visibility and reach. Every feature you help build will create growth opportunities for businesses of all sizes strengthening Delivery Heros ecosystem and impact.

This is a hands-on role designed for students who want real production exposure.

Youll work with modern data tooling and collaborate closely with data engineers analytics engineers and business stakeholders. If youre proactive communicative and eager to learn how real-world data platforms are built and operated this role will give you an excellent foundation.
 

• Support the maintenance and improvement of data ingestion and transformation pipelines powering Vendor Sales & Operations use cases
• Work with SQL and dbt to build test and optimize data models in BigQuery
• Help monitor and ensure data quality and reliability using tools like Monte Carlo
• Assist with Airflow-based orchestration debugging pipeline failures and improving robustness
• Contribute to ML matching systems by supporting data preparation validation and monitoring
• Collaborate closely with data engineers analysts and commercial stakeholders to understand data needs and translate them into reliable datasets
• Document data models pipelines and assumptions to improve transparency and long-term maintainability.

Qualifications :

• You are currently enrolled in a Bachelors or Masters program such as: Computer Science Computer Engineering Software Engineering. etc.
• Strong working knowledge of SQL and Python (this is essential)
• Familiarity or hands-on experience with dbt and modern data warehouses (BigQuery is a plus)
• Basic understanding of data pipelines ETL/ELT concepts and analytical data modeling
• A proactive and communicative mindset you ask questions flag issues early and enjoy collaborating with others
• Eagerness to learn take ownership of tasks and grow your technical skills in a production environment
• Ability to work independently in a remote-friendly setup while joining on-site twice per week.

Nice to have

• Prior experience with Airflow or other workflow orchestration tools
• Exposure to data quality or observability tools (e.g. Monte Carlo)
• Basic understanding of machine learning pipelines or matching systems
• Interest in vendor ecosystems marketplaces or competitive intelligence

Additional Information :

Ensuring you and all our Heroes are looked after happy and healthy is always on the menu. Because if youre in good shape then were in good shape.

• Make the most of our hybrid working model and join the team for face-to-face connection and collaboration in our beautiful Berlin campus 2 days a week

• We offer 27 days holiday

• We will support you in developing yourself and your career growth opportunities: 1.000 Educational Budget Language Courses Parental Support access to the Udemy Business platform to explore a variety of online courses

• Get moving and release those wonderful mind-boosting endorphins: Health Checkups Mindfulness and Gym & Bicycle Subsidy

• The power of getting together over some food is unrivalled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers Food Vouchers Corporate Discounts. Courses and access to Internal Housing Hub

Ready to join our team If youre excited to grow collaborate and be part of the worlds leading 

We believe diversity and inclusion are key to creating not only an exciting product but also an amazing customer and employee experience. Fostering this starts with hiring - therefore we do not discriminate on the basis of racial identities religious beliefs color national origin gender identities or expressions sexual orientations age marital or disability statuses or any other aspect that makes you you.

We encourage you to let us know if you need any accommodations or specific accessibility support to ensure a smooth interview experiencejust let us know with an email to our Inclusion Officer at it in your application.

Severely disabled applicants with equal qualifications will be given preferential consideration.

Youre welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Remote Work :

No

Employment Type :

Intern