at Delivery Hero
Full TimeAs 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.
We are looking for a highly skilled and passionate software engineer to join the Global Feature Store team at Glovo.
The Feature Store is a key component of Delivery Hero’s Machine Learning stack, allowing Data Scientists easy and consistent access to model features at training and serving time and reducing the duplication of feature engineering efforts across teams. Our Feature Store also powers backend engineering use cases which require low latency access to data in our Data Lake, vastly reducing development time of these projects and allowing feature discoverability and reusage across the organization.
Our team builds and operates the Global Feature Store not only in Glovo but also the rest of the brands in Delivery Hero, our parent company. Your solutions will be used across different use cases, ranging from logistics, fraud detection, ranking, etc. in all the markets Delivery Hero and Glovo operate in.
THE JOURNEY
Design and implement scalable, robust and innovative solutions for one of Delivery Here’s busiest and most data-intensive services, where your expertise will shape the future of high-traffic platforms.
Actively contribute to our product development roadmap and lead high-impact projects.
Keep our tier-1 system up and running ensuring that our business runs smoothly
Develop software using modern engineering approaches and agile principles.
Make our technology and our team scale as the business grows.
Own your deliverables from start to finish and deliver high-quality solutions.
A degree in Computer Science or relevant experience.
Experience diagnosing and resolving performance problems in complex software systems.
Strong interest and experience in data-intensive application development
Familiarity with the Machine Learning lifecycle.
Strong Java/Kotlin/Python or other high-level language skills.
Extensive knowledge of object-oriented programming and software architecture.
Knowledge of relational databases, and other approaches to data management.
Knowledge of concurrency and Event-Driven Development.
Analytical and problem-solving skills.
Vivid interest in at least one area outside of coding (architecture, algorithms, optimization, automation, scalability, etc.)
You have strong written and verbal communication skills in English.
Nice to have:
Experience in fast-growing tech companies and scaleups
Proficiency in software architectures and performance optimization techniques
Past work experience in the field of data engineering, data science or streaming analytics
We believe driven talent deserves:
🌟 An enticing equity plan *if applicable
💪 Top-notch private health insurance to keep you at your peak.
🍔 Monthly Glovo credits so you can test new features in our beta app (and to satisfy your cravings!)
💳 Discounts on transportation, food, and even kindergarten expenses or office-based nursery.
🏊 Discounted gym memberships to keep you energized.
🏖️ The freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year. .
👪 Enhanced parental leave (*if applicable)
🧠 Online therapy and wellbeing benefits
We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people, paving the way forward together.
At Glovo, we truly value diversity for the positive impact it brings to our teams, products, and culture. We're dedicated to providing equal opportunities for talent from all backgrounds.
Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc).
Delve into our culture by taking a peek at our Instagram and check out our Linkedin and website!
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.
