Data Modelling & Engineering Lead
Role Overview
Lead enterprise data modelling and engineering standards across major banking engagements in Dubai.
Bridge conceptual data structures and production engineering across retail banking modernizations, mobile banking backends, and real-time digital customer journeys.
Take accountability for data models, business definitions, pipeline code quality, and engineering standards.
Key Skills for This Role
Full Job Posting
Role overview
Lead enterprise data modelling and engineering standards across major banking engagements in Dubai.
Bridge conceptual data structures and production engineering across retail banking modernizations, mobile banking backends, and real-time digital customer journeys.
Take accountability for data models, business definitions, pipeline code quality, and engineering standards.
Responsibilities
- Own canonical data models, schemas, and business glossaries to maintain semantic consistency across project streams.
- Set standards for pipeline frameworks, code quality, automated testing, environments, and CI/CD.
- Direct senior data engineers in project squads and align them on shared components and architecture patterns.
- Review vendor codebases and approaches; audit delivered data artifacts before production release.
- Assure engineering content in Steering Committee packs and verify vendor progress and delivery claims.
- Validate estimates and change requests, and investigate delays related to code quality or environment issues.
- Present technical decisions and their business value to senior stakeholders.
Required experience and capabilities
- 10+ years of hands-on data engineering and modelling experience, including 4+ years leading engineering standards or platform teams in consultancies or major banks.
- Retail Banking Group enterprise data modelling and engineering experience.
- Direct experience with high-throughput, real-time data backends for consumer mobile banking apps and digital journeys.
- Deep conceptual, logical, and physical modelling expertise across batch and real-time streaming, including ERD, Data Vault 2.0, dimensional/Kimball, and JSON/Avro.
- Exceptional verbal, written, and visual communication, with the ability to produce executive-ready insights.
- Ability to present to technical and business executives, defend standards, and manage vendor friction constructively.
Advantageous technical experience
- Advanced fluency in SQL, Python, PySpark/Databricks, Snowflake/BigQuery, Kafka/Event Hubs, dbt, and AWS/Azure cloud data platforms is an advantage.
- UAE or GCC major-bank data engineering or modelling leadership experience is an advantage.
Benefits
- Competitive salary, comprehensive health insurance, and individual visa sponsorship.
- Professional development and certification support, plus role-related subscription reimbursement.
- Monthly employee incentive program, career advancement opportunities, and work on AI projects.
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