Working Student, Data Engineering - (Vendor) at Delivery Hero

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

06 May, 26

Salary

0.0

Posted On

05 Feb, 26

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Python, dbt, BigQuery, Airflow, Data Ingestion, Data Transformation, Data Quality, ETL/ELT Concepts, Analytical Data Modeling, Data Pipelines, Workflow Orchestration, Data Validation, Data Preparation, Communication, Proactivity

Industry

technology;Information and Internet

Description

Company Description As the world’s pioneering local delivery platform, our mission is to deliver an amazing experience, fast, easy, and to your door. We operate in over 70+ countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. We enable creative minds to deliver solutions that create impact within our ecosystem. We move fast, take action and adapt. No matter where you're from or what you believe in, we build, we deliver, we lead. We are Delivery Hero. Job Description 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. 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. If you're 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 Bachelor's or Master's 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 you’re in good shape, then we’re 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 you’re excited to grow, collaborate and be part of the world’s 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 experience—just let us know with an email to our Inclusion Officer at [email protected] it in your application. Severely disabled applicants with equal qualifications will be given preferential consideration. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.

Responsibilities

The role involves supporting the maintenance and improvement of data ingestion and transformation pipelines for Vendor Sales & Operations use cases, utilizing SQL and dbt to build and optimize data models in BigQuery. Responsibilities also include assisting with Airflow orchestration, monitoring data quality, and contributing to ML matching systems through data preparation and validation.