Senior Data Warehouse Engineer I

About the Company

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 Role

We are seeking a highly skilled and motivated Data Warehouse Engineer to join our team. As a Data Warehouse Engineer, you will play a critical role in designing, developing, and maintaining our data infrastructure, ensuring the availability, scalability, and reliability of our data systems. You will collaborate closely with cross-functional teams, including data scientists, analysts, and software engineers, to support data-driven decision-making and enable the efficient processing of large-scale data.

What You'll Do

• Design and develop robust, scalable, and high-performance data pipelines and ETL processes to extract, transform, and load data from various sources into our data warehouse or data lake.
• Collaborate with stakeholders to understand their data requirements, and design and implement appropriate data models and database schemas to support their needs.
• Optimize data pipelines and ETL processes for performance and efficiency, ensuring timely and accurate data delivery to end-users.
• Monitor, troubleshoot, and resolve issues related to data quality, data consistency, and data integrity, ensuring the reliability and correctness of our data systems.
• Implement and maintain data governance practices and policies, ensuring compliance with data privacy and security regulations.
• Collaborate with data scientists and analysts to provide them with the necessary data infrastructure and tools for conducting advanced analytics and deriving insights.
• Stay up-to-date with the latest trends and technologies in data engineering and recommend innovative solutions to improve data engineering processes and systems.
• Document data engineering processes, data flows, and system architectures to ensure knowledge sharing and maintain an up-to-date repository of technical documentation.
• Work closely with cross-functional teams, including software engineers and infrastructure teams, to optimize data infrastructure and ensure its seamless integration with other systems.
  
  

What You'll Need

• Bachelor's degree in Computer Science, Engineering, or a related field.
• At least 6 years of experience as a Data Warehouse] Engineer or in a similar role, working with large-scale data processing and ETL pipelines.
• Strong programming skills in languages such as Python, Java, or Scala, with experience in data manipulation and processing frameworks like Apache Spark.
• Experience with SQL and database technologies (e.g., relational databases, SQL queries, data modeling).
• Proficiency in working with big data technologies such as Hadoop, Hive and knowledge of distributed systems and cloud computing platforms (e.g., AWS, Azure, GCP).
• Familiarity with data integration and workflow management tools such as Apache Airflow
• Knowledge of data warehousing concepts and experience with data warehousing solutions is highly desirable.
• Strong analytical and problem-solving skills, with the ability to analyze complex data-related issues and propose effective solutions.
• Excellent communication and collaboration skills, with the ability to work effectively in a cross-functional team environment.
• Attention to detail and a strong commitment to delivering high-quality work within established timelines.
• Join our dynamic team and contribute to building scalable data infrastructure that powers data analytics and decision-making processes. Apply your expertise in data engineering to help us unlock the full potential of our data assets and drive meaningful insights for our organization.