Overview
Build and maintain data pipelines for RAK Bank, ensuring reliable data flow for analytics and reporting using modern ETL tools and cloud infrastructure.
Full job description
About us We’re RAKBANK. Banking should feel simple. Human. Helpful. So that’s the kind we build. We offer a wide range of Personal, Wholesale, and Business Banking services across our 20 branches and through our Digital Banking solutions. Our Sharia-compliant offering is delivered via our Islamic Banking unit, RAKislamic — giving customers a seamless experience whether they're visiting us in branch or banking with us digitally. We've recently introduced AI-powered customer assistants, crypto brokerage services, and extensive digital banking capabilities.
Role Overview: We're looking for an exceptional Data Engineer to help us build, operate, and optimize data ingestion, processing, and transformation pipelines that deliver trusted, business-ready data products.
What This Role Delivers:
- Reliable and maintainable ingestion and transformation pipelines
- High-quality, trusted and well-documented datasets
- Consistent and scalable data models aligned with business requirements
- Strong adoption of data products by business and analytics teams
- Effective monitoring and resolution of data quality issues.
Skills & Experience:
- Data modeling experience (Medallion Architecture, Data Mesh, Data Vault)
- Hands-on experience with data transformation frameworks (dbt, Databricks Declarative Pipelines)
- Strong Python and SQL development skills
- Data quality engineering experience (Soda, Great Expectations, dbt tests, Databricks quality frameworks)
- Proven ability to design, optimize, and troubleshoot data pipelines
- Solid business and product understanding
- Analytical mindset and problem-solving
- Ability to engage effectively with data consumers including analysts, data scientists and business stakeholders.
Must-Have:
- Demonstrated use of AI-assisted development, context layers, and agentic data-related workflows.
Preferred Background:
- Banking, regulated-industry, or large-enterprise experience
- Experience with both modern and traditional data platforms (e.g., Databricks, Oracle, Informatica).
…and of course, your benefits
- Direct work with the customer, ownership culture
- 20 working days of vacation and 15 sick leaves
- Public holidays
- Medical expenses compensation (after trial)
- Fitness membership (after trial)
- Corporate events.
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