Staff Analytics Engineer - (AdTech)

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 lookout for a Staff Analytics Engineer to join our Adtech Data Team. In this role, you will be responsible for transforming raw data into well-structured, reliable, and accessible data models that enable analysts, data scientists, and business stakeholders to make informed decisions. You will work closely with data engineers to build scalable data pipelines and collaborate with analysts to ensure data is actionable and insightful.

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.

• Design, build, and maintain clean, efficient, and scalable data models in SQL and dbt. Optimize query performance and data processing efficiency.

• Ensure data is structured to support self-service analytics and business intelligence.

• Work closely with data engineers to define data requirements and enhance ETL pipelines.Partner with product analysts, data scientists, and business teams to ensure data meets analytical and reporting needs.

• Implement and enforce data quality best practices to ensure accuracy and consistency. 

• Develop and maintain data transformation workflows using dbt, SQL, and cloud-based data platforms. Automate data validation and reporting processes.

• Monitor data integrity and troubleshoot data issues proactively. Advocate for best practices in documentation, testing, and version control.

Qualifications

• Strong proficiency in Python, SQL and experience with dbt for data modeling.

• Experience working with cloud-based data warehouses (e.g., Snowflake, BigQuery, Redshift).

• Familiarity with version control (Git) and CI/CD practices for data workflows.

• Understanding of data engineering principles, including ETL/ELT processes.

Additional Information

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 include it in your application. You're welcome to share your pronouns (he/she/they) right from the start so we can address you respectfully from our first contact.