Python Developer with AWS

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 70 countries worldwide, powered by tech, designed by people. As one of Europe’s largest tech platforms, headquartered in Berlin, Germany. We’re hiring an Engineer II, Golang to join the Data Platform team within Tech Foundations vertical, powering Delivery Hero - based in Glovo, Barcelona. You will join one of the core platform teams within Glovo, helping to develop new capabilities of the Global Data Platform that empowers thousands of Delivery Hero group users to create and manage data products efficiently. You will focus on designing and implementing backend services and platform components, ensuring that our data platform is reliable, secure, and optimized for growth. Design and build backend services, APIs, and developer tools that power our global data ecosystem. Work on distributed systems challenges involving scalability, reliability, and performance. Apply modern software engineering practices : code reviews, automated testing, CI / CD, observability, and monitoring. Collaborate closely with senior engineers and platform architects to evolve the data platform. Take end-to-end ownership of features — from design and implementation to deployment and maintenance. Partner with data engineers and analysts to understand how users build data pipelines, and build abstractions and tools to make their work easier. 4+ years of experience as a software or backend engineer building production-grade systems. ~ Strong proficiency in Python and Kotlin, or another high-level programming language. ~ Solid understanding of object-oriented design, software architecture, and design patterns. ~ Experience diagnosing and resolving performance issues in complex systems. ~ Familiarity with containerization (Docker) and modern deployment workflows. ~ Understanding of relational databases (Mysql, PostgreSQL, Aurora, MariaDB, +), concurrency, and event-driven architectures. ~ Curiosity and interest in how data systems work — from ingestion to transformation to consumption.

Exposure to cloud platforms such as AWS or GCP (especially BigQuery or Dataflow). Experience with Kubernetes and container orchestration. Understanding of event streaming systems (Kafka, Kinesis, Flink). Familiarity with Data Mesh principles, data catalogs, or data lake architectures. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there!

Extra time off, 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, and office-based nursery.