Data Engineer; Saudi Office: Saudi; Office
Riyadh, Riyadh Region, Saudi Arabia
Listed on 2026-07-21
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Software Development
Data Engineering
Abwab.ai was founded by Baraa Koshak with a vision to transform the lending landscape for MSMEs in Saudi Arabia. We are using AI to make loan decisions faster, simpler, and easier for financial institutions. Our mission is to bring lenders and MSMEs closer.
Inspired by our founder’s background at Revolut UK with transaction enrichment technology, we use AI-powered tools to bridge the $170 billion financing gap with technology that’s designed for local markets. We close this gap by automating underwriting, turning weeks of processes into mere minutes.
With deep credit insights and comprehensive reports, we help lenders make quicker, more reliable decisions about borrowers.
About the roleGiven our rapid growth, it is time to expand our data engineering team. The primary focus of this role will be to build and optimise data infrastructure and pipelines. You’ll work closely with our ML developers, product managers, and other stakeholders to design and deliver reliable data infrastructure to be used for analytics and ML model training.
What we offerThe successful applicant will:
- Participate in the company’s ESOP plan (share options).
- Work in a hybrid model – primarily at our Riyadh office with some occasional working from home.
- Work directly with several major Saudi financial institutions.
- Collaborate with a fantastic team of engineers, product managers, and designers.
- Acquire knowledge by working with an international team of experienced leaders and engineers.
- Gain valuable experience of Fin Tech and start-ups.
As a data engineer , you will:
- Design and help build the scalable data infrastructures and pipelines that power our ML models, ensuring reliable data flow from diverse sources.
- Own data quality and governance by establishing and maintaining data quality frameworks, including validation rules, cleaning mechanisms, and handling missing or contradictory values.
- Integrate with enterprise systems by specifying the requirements for and helping to build connectors that link our AI models with client data sources.
- Contribute to data security and compliance by collaborating with the rest of the team to meet regulatory data security and privacy requirements.
- Enable the ML team by working closely with them to ensure they have clean, well-structured, and timely available data for model training, testing, and production inference.
- Operationalise by ensuring creation of clear documentation, observability and self-service capabilities are available.
The successful applicant will have:
- Accumulated substantial experience in data engineering through a relevant engineering degree and at least 5 years of hands-on experience building production data systems.
- Strong proficiency in Python and SQL and demonstrable experience of building ETL/ELT pipelines using tools such as Apache Airflow and dbt.
- Hands‑on experience with cloud data platforms, preferably GCP, and a deep understanding of data warehouse design patterns.
- Strong problem‑solving skills.
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