Careem is building the Everything App for the greater Middle East, making it easier than ever to move around, order food and groceries, manage payments, and more. Careem's mission is to simplify and improve the lives of people while fostering an inspiring organizational culture. Since 2012, Careem has empowered over 2.5 million Captains and improved the lives of over 70 million customers across more than 70 cities in 10 countries.
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The Data Engineering team at Careem is responsible for the governed, reliable, and performant data layer that drives decision-making. The team designs, builds, and operates the data warehouse, curated data marts, and real-time pipelines, bridging raw data and actionable insights. Members collaborate closely with business, product, and analytics teams to model data that answers complex questions across various domains.
This full-time position based in Dubai offers a flexible work setting of 4 days in office and 1 day from home, with the option to work remotely from any country for 30 days a year. Employees enjoy unlimited vacation days, and those in individual contributor roles in tech work 2 office days and 3 days from home per week.
What You'll Do:
- Lead technical improvements in scalability, stability, accuracy, speed, and efficiency of existing data systems.
- Develop strategy for long-term Data Platform architecture in collaboration with business units and engineering teams.
- Conceptualize and manage data architecture for large-scale projects while balancing design and operational cost-benefit trade-offs.
- Collaborate with engineers, product managers, and data scientists to meet data needs and present key data insights effectively.
- Implement best practices for data infrastructure and automation.
- Design and develop high-performance data models and pipelines for the Data Lake and Data Warehouse.
- Monitor and resolve data quality, consistency, and integrity issues.
- Support onboarding and assist new engineers joining the team.
What You’ll Need:
- Bachelor's degree in Computer Science, Engineering, or a related field.
- 10+ years of hands-on engineering experience with a focus on leading projects.
- 6+ years in data platform and data engineering roles.
- Expertise in large-scale data architecture design, skilled in SQL, Python, and big data technologies like SparkSQL or Trino.
- Experience with cloud platforms (AWS, GCP, Azure).
- Strong analytical skills and experience with data visualization tools.
- Ability to translate complex data into strategic insights.
- Comfortable in a fast-paced, dynamic environment focused on continuous improvement and learning.
Language Requirements:
There are no specific language requirements mentioned, but proficiency in English is likely expected given the job location and corporate environment.
What We’ll Provide You:
- Opportunities for personal and professional growth within a purposeful organization.
- Access to healthcare benefits and fitness reimbursements for health-related activities, including gym memberships and training classes.
