Data Engineer
Abu Dhabi Emirate, United Arab Emirates · Full Time
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- Experience
- 6+ yrs
- Salary
- —
- Openings
- 1
- Posted
- 1 ആഴ്ച മുൻപ്
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- In office
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Job description
About the Role
We are collaborating with a prominent UAE-based institution focused on establishing a digital-first, AI-powered financial services organization. This opportunity allows you to be part of a foundational team driving the development of technology, data infrastructure, and AI within a company backed by significant investments and long-term vision. If you have a passion for data engineering, cloud-native solutions, and scalable data product creation, this position is ideal.
Responsibilities
- Design and manage batch, streaming, and change data capture (CDC) pipelines for core banking, payments, and transaction systems.
- Create scalable data products, lakehouse elements, and data marts utilizing advanced cloud-based data engineering methodologies.
- Produce AI-ready datasets, feature engineering pipelines, vector pipelines, and retrieval corpora to aid AI and machine learning initiatives.
- Enforce data quality controls, data contracts, metadata governance, and data lineage tracking across all pipelines.
- Develop and maintain regulatory and management reporting pipelines complying with CBUAE regulations and IFRS 9 standards.
- Enhance engineering quality by implementing automated testing, continuous integration/continuous deployment (CI/CD), system monitoring, observability, and AI-driven development practices.
Qualifications
- Minimum of six years' practical data engineering experience, preferably in banking, fintech, or highly regulated sectors.
- Proven expertise in building and managing cloud-based data pipelines and lakehouse platforms such as Databricks or similar technologies.
- Strong command of streaming technologies, CDC ingestion methods, and event-driven architectures.
- Hands-on experience developing data pipelines that support AI, machine learning, feature store implementations, vector databases, or related retrieval systems.
- Advanced proficiency in Python, SQL, Apache Spark, dbt, Apache Kafka, orchestration frameworks, and CI/CD tooling.
- Familiarity with contemporary AI-assisted software development tools and adherence to best software engineering practices.