Job
- Level
- Junior
- Job Field
- Data
- Employment Type
- Part Time
- Contract Type
- Internship / school internship
- Location
- Berlin
- Working Model
- Hybrid, Onsite
Job Summary
In this role, you support the Vendor Data Team by optimizing data pipelines for Vendor Sales & Operations, developing SQL and dbt models, and ensuring data quality using tools like Monte Carlo.
Job Technologies
Your role in the team
- We are on the lookout 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.
- You'll 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, you'll 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 Hero's ecosystem and impact.
- This is a hands-on role designed for students who want real production exposure.
- You'll work with modern data tooling and collaborate closely with data engineers, analytics engineers, and business stakeholders.
- 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.
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Our expectations of you
Qualifications
- You are currently enrolled in a Bachelor's or Master's program such as: Computer Science, Computer Engineering, Software Engineering.
- Strong working knowledge of SQL and Python (this is essential).
- 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.
- Exposure to data quality or observability tools (e.g., Monte Carlo) is nice to have.
- Basic understanding of machine learning pipelines or matching systems is nice to have.
- Interest in vendor ecosystems, marketplaces, or competitive intelligence is nice to have.
Experience
- Familiarity or hands-on experience with dbt and modern data warehouses (BigQuery is a plus).
- Prior experience with Airflow or other workflow orchestration tools is nice to have.
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Benefits
Food & Drink
Work-Life-Integration
Health, Fitness & Fun
Topics that you deal with on the job
Job Locations
This is your employer
Delivery Hero SE
What started as an ambitious idea is now the leading local delivery company. Delivery Hero is present in around 50 countries across four continents and is on a mission to deliver anything, straight to customers’ doors.
Description
- Founding year
- 2011
- Language
- English
- Company Type
- Established Company
- Working Model
- Hybrid, Onsite
- Industry
- Trade
Dev Reviews
by devworkplaces.com
Total
(1 Review)3.2
Workingconditions
3.8Career Growth
3.2Engineering
2.7Culture
3.2
Working Student Data Engineering
- Location
- Berlin
- Working Model
- Hybrid, Onsite
- Diversity
- Open for all genders
- English Only
- English only required
