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

Berlin, , Germany -

Full Time

Start Date

Immediate

Expiry Date

15 Oct, 26

Salary

0.0

Posted On

17 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Data Engineering, SQL, ETL/ELT, Cloud Computing, FinOps, Python, AI/ML, Data Visualization, Business Intelligence, Anomaly Detection, Forecasting, Data Cleaning, Software Architecture, Cloud Financial Management, Tokenomics

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 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. Job Description 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. Your key roles and responsibilities will be: deliver - utilizing terminal-first or IDE-based agentic tooling - 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 in the form of 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 provide 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 The output of your work will be used by hundreds to thousands of engineers as well as all levels of management in the DH Group to help them make the right decisions and tradeoffs, as well as help them optimize their workloads and spending. Qualifications Curiosity and hunger for knowledge that keeps you rolling: experimenting and learning by doing, iteration after iteration - it’s just fun! Hands-on experience with building quality data pipelines in the cloud with large datasets Demonstrated language-agnostic coding skills and SQL wizardry to do ELT/ETL transformations and querying data efficiently for high performance and controlled cost Beyond engineering, strong communication skills and interest in business and our customers (internal users) Understanding the importance and no fear of doing data cleaning and an excellent customer support Nice to have FinOps experience 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 with an extra day on 2nd and 3rd year of service We will support you in developing yourself and your career growth opportunities: 1.000 € Educational Budget, Language Courses, Parental Support and access to the Udemy Business platform to explore a variety of online courses. Get moving and release those wonderful, mind-boosting endorphins: Health Checkups, Meditation & Gym. Cash. Dough. Cheddar. Whatever you call it, we’ll help you with it: Employee Share Purchase Plan, Sabbatical Bank, Public Transportation Ticket Discount, Life & Accident Insurance, Corporate Pension Plan The power of getting together over some food is unrivaled. Here are a few ways to help you do that. All the yum: Digital Meal Vouchers and Food Vouchers. Wondering what relocating to Berlin is like? In this article, we’ve put together 10 things you should know about moving to Berlin and how Delivery Hero can support you. You can also visit our relocation hub and check out more information about moving to Berlin. Ready to prepare for your interview? Check out the list of the 5 most common interview questions and answers created in collaboration with our recruiters. Ready to join our team? If you’re excited to grow, collaborate and be part of the world’s leading delivery platform, we’d love to hear from you. Apply today! 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]. 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

Develop automated, near real-time data pipelines and generative analytics to optimize public cloud, SaaS, and AI costs. Collaborate with engineering teams to drive efficiency KPIs and provide data-driven insights for global technology resource management.