We are on the lookout for a motivated and eager-to-learn Junior 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 is located in Barcelona, in Glovo offices, but builds and operates the Global Feature Store not only in Glovo but also the rest of the brands in Delivery Hero, our parent company. You will be supported and mentored by a group of senior engineers and 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. This is a fantastic opportunity to learn and grow in a dynamic and innovative environment.
THE JOURNEY
As a Junior Software Engineer, you will be supported and guided by senior team members as you contribute to the following :
Assisting in designing and implementing scalable, robust and innovative solutions for one of Delivery Hero’s busiest and most data-intensive services, where your work will shape the future of high-traffic platforms.
Contributing to our product development roadmap and assisting in project execution under guidance.
Participating in monitoring and maintaining system health with support from senior engineers
Developing software using modern engineering approaches and agile principles.
Making our technology and our team scale as the business grows.
Owning your deliverables from start to finish and delivering high-quality solutions.
Qualifications
A degree in Computer Science or relevant experience.
Understanding of topics like object-oriented programming concepts, software architecture, concurrency.
Knowledge of relational databases, and other approaches to data management.
Familiarity with the Machine Learning lifecycle.
Extensive familiarity with at least one high-level language, including Java, Kotlin, Python, etc.
Basic understanding of diagnosing and troubleshooting software issues.
Analytical and problem-solving skills.
Vivid interest in at least one area outside of coding (architecture, algorithms, optimization, automation, scalability, etc.)
Strong written and verbal communication skills in English.
Nice to have :
Experience in fast-growing tech companies and scaleups.
Past work experience in the field of data engineering, data science or streaming analytics.
Personal coding projects or contributions to open-source projects.
A strong growth mindset and enthusiasm for learning specific technologies used by the team.
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