Data Engineer II - (Tech Foundations, Finops and Tech Metrics)

Data Engineer II - (Tech Foundations, Finops and Tech Metrics)

• Contract

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 around 65 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 push hard, learn quickly and stay human along the way. It’s this wonderful mix of high performance and real community that makes Delivery Hero a place where ambition and belonging grow side by side. If you’re curious, collaborative and ready to dive deep into meaningful work, you’ll fit right in.

We are on the lookout for a Data Engineer II, FinOps to join the Tech Foundations Team on our journey to always deliver amazing experiences. This is a 12 month maternity cover.

As a member of the Tech Foundations Team, you’ll support Delivery Hero’s rapid innovation and growth. You’ll work on foundational systems that enable faster feature development, security, reliability and efficiency across our global engineering community. Every enhancement you make will contribute to our teams' ability to build, scale, and deliver quality features efficiently – ultimately impacting millions of users worldwide.

The FinOps and Tech Metrics team is delivering data pipelines, visualization solutions and organisational capabilities for global technology efficiency impact in the Delivery Hero Group. We drive several efficiency KPIs and lead group-wide initiatives to ensure the efficient management of cloud and AI resources, leading to optimized usage and cost, high business value and engineering efficiency.

We have a unique data engineering position to offer that does not present itself frequently. This role offers growth in two highly sought-after disciplines in parallel: data engineering and cloud financial management (FinOps and tokenomics). You will be working closely together with data engineers and FinOps practitioners in our great team in a multi-provider environment.

Key responsibilities

• Deliver highly automated, quality‑controlled, near real‑time data pipelines and data‑driven software features for optimizing public cloud, SaaS, and AI cost, usage, and driving business value.
• Build generative analytics and visualisation solutions such as automated insight extraction, business intelligence dashboards, reports, and tooling integrations.
• Apply AI/ML solutions for anomaly detection, automated analyses, forecasting, identification of optimisation opportunities and similar use cases.
• Ensure a great data and user experience by staying close to our users and product personas, and providing them outstanding support.
• Contribute to the definition and evolution of our data and software architecture, also considering the non‑functional requirements in collaboration with members of the team.

Qualifications

• Hands‑on experience with building quality data pipelines in the cloud with large datasets.
• Demonstrated language‑agnostic coding skills and SQL expertise for ELT/ETL transformations and efficient querying at high performance and controlled cost.
• Strong communication skills and interest in business and our internal users.
• Understanding of the importance of data cleaning and excellent customer support.

Benefits

• Hybrid working model – join us for face‑to‑face collaboration in our Berlin campus 2 days a week.
• 27 days holiday, with an extra day on the 2nd and 3rd year of service.
• Educational budget of €1,000, language courses, parental support, and access to Udemy Business.
• Health Checkups, meditation, and gym access.
• Employee Share Purchase Plan, Sabbatical Bank, public transportation ticket discount, life & accident insurance, corporate pension plan.
• Digital meal vouchers and food vouchers.

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.

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

You're welcome to share your pronouns (he/she/they) from the start so we can address you respectfully.

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 via email to