About Moove

Moove is building the world’s largest fleet and best-in-class technologies that power mobility platforms. Its flagship Drive-to-Own (DTO) product democratises access to vehicle ownership with a revolutionary revenue based financing model, enabling underserved mobility entrepreneurs to thrive.

Moove’s growth has been fuelled by its global Uber partnership and support of leading investors and lenders, including Uber, Mubadala, BlackRock, MUFG, and many others. With operations now spanning 19 cities across 6 continents - Africa, Asia, Europe, North America, South America, and the Middle East - Moove continues to expand its offerings through strategic acquisitions and partnerships with industry leaders, including Waymo and Uber. Moove is transforming mobility to make it safer, more efficient and accessible to all, while providing economic opportunities and supporting skills development in the mobility sector.

About the Role

We are seeking a hands-on Senior Data Engineer who can autonomously design, build, and maintain robust data pipelines that power our business decisions and AI-driven applications. You will own data flows end-to-end, from integrating source systems to delivering analytics-ready datasets, ensuring data quality, reliability, and scalability. This role is both strategic and execution-focused, requiring the ability to collaborate across teams while shipping infrastructure improvements that deliver measurable business value.

What You’ll be Doing

This role exists to provide the business with high-quality, well-structured, and timely data that drives analytics and AI initiatives.

Critical outcomes for the next 6–12 months include:
1. Building and optimizing end-to-end data pipelines across multiple systems.
2. Establishing robust data quality frameworks and monitoring.
3. Enabling faster, more reliable insights for analytics and AI-driven projects.

Core Responsibilities:
• Own the full data pipeline lifecycle, from source integration to data quality validation.
• Build and ship data infrastructure improvements weekly that unlock business value.
• Proactively identify data gaps and integration opportunities across our systems.
• Implement robust data quality checks and monitoring to ensure reliable analytics.
• Collaborate across workstreams to deliver data solutions that address business needs.

What You will need for this position

• 6+ years of experience in data engineering, ETL development, or related roles.
• Strong expertise in building and managing data pipelines using modern tools and frameworks.
• Proficiency in SQL, Python, and data workflow orchestration platforms (e.g., Airflow, dbt).
• Experience with cloud data platforms such as AWS, GCP, or Azure.
• Strong understanding of data modeling, warehousing, and quality assurance.
• Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
• Ability to work independently and deliver high-quality solutions on tight timelines.

Key Metrics

• Reduction in data pipeline latency and failure rates.
• Delivery of weekly infrastructure improvements that enable new analytics capabilities.
• Positive feedback from stakeholders on data reliability and accessibility.
• Increased adoption of analytics and AI solutions powered by engineered datasets.

Who You'll Be Working with:

Directly reporting to our Senior Staff Data Engineer, and closely working with our Technology Team.

About the team

Our team is collaborative, positive, curious, and engaged. We think fast, work smart, laugh often, and are looking for like-minded people to join us in our mission to disrupt vehicle ownership and make financial freedom within reach.

Moove is strongly committed to diversity within its community. The Company’s approved Employment Equity Plan and Targets will be considered as part of the recruitment process. As an Equal Opportunities employer, we welcome people from all backgrounds who seek the opportunity to help build a future where everyone and everything can move independently.

Pre-hiring Notice: Moove relies on the accuracy of information contained in employment applications, as well as the accuracy of other data presented throughout the hiring process and during employment. Any misrepresentations, falsifications, or material omissions in any information or data provided by an applicant may result in the applicant being excluded from further consideration for employment or if an individual has already been hired, termination of employment.

EEO Statement: Moove is an equal opportunity employer and does not discriminate on the basis of gender, race, sexual orientation, marital status, religion, political affiliation or any other protected characteristic.

Locations

Dubai

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