Senior Software Engineer I - Data Platform
Careem is building the Everything App for the greater Middle East — making it easy to move around, order food and groceries, manage payments, and more. Our purpose is simple: to simplify and improve people’s lives and build an awesome organisation that inspires.
Since 2012, Careem has enabled earnings for over 2.5 million Captains, simplified the lives of more than 70 million customers, and built a platform where the region’s best talent and entrepreneurs thrive. We operate in 70+ cities across 10 countries, from Morocco to Pakistan.
We’re now entering our next chapter — one powered by AI. We’re looking for AI talent: curious problem-solvers who know how to apply AI to build tools, automate workflows, and create real impact. Whether it’s streamlining operations, enhancing customer experience, or reimagining internal systems — we want people who can make Careem work smarter and move faster.
About the Team
The Careem Data Platform team’s mission is to provide a platform to abstract big data complexities and enable fast, reliable and secure access to data. As a member of this team, you will be at the forefront of fulfilling this mission. You will be working with the top talent of the region, leveraging modern big data tools and techniques to solve the region’s day to day problems, on top of our own in-house data platform, serving users in real-time.
This role will be part of the Data processing and computation platform team. We are heavily invested in open source technologies like Apache Spark, Apache Kafka, Apache Trino etc. You would also have an opportunity to contribute and collaborate with the open source community.
What you'll do
- Bringing an innovative and creative mindset to data engineering challenges to develop a modern data platform with efficient reusable components
- Design, architect, solutioning, implement and test rapid prototypes that demonstrate value of the data and present them to diverse audiences
- Your focus will be on making code more efficient to run, optimizing resources across the cluster, and speeding up the compute workloads we face
- Continuously improve our engineering processes, tests, and systems that allow us to scale the code base and productivity of the team
- Collaborate with teams globally and operate in a fast paced environment
- Responsible for creating reusable and scalable data pipelines
What you’ll need
- 5+ years of hands-on experience in software development
- Bachelor's degree in Computer Science or a related technical field
- Strong expertise in Scala, Java, Python or similar programming languages
- Proven track record of building distributed systems or working on comparable large-scale projects
- Deep understanding of cloud-native Big Data technologies
- Solid foundation in software engineering principles and design best practices
- Passion for developing high-quality, maintainable, and performant software within a collaborative, high-performing global team
- Experience with cloud control planes (AWS, GCP, etc.) or database internals, including query optimization
- Contributions to open-source projects will be preferred
- Experience with Docker and Kubernetes is a plus
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