Data Modelling & Engineering Lead
Role Overview
Lead enterprise data modelling and engineering standards across major banking engagements, bridging conceptual data structures and production-grade engineering.
Work across retail banking modernizations, mobile banking backends, and real-time digital customer journeys; govern vendor build quality and engage senior stakeholders.
Key Skills for This Role
Full Job Posting
The opportunity
Lead enterprise data modelling and engineering standards across major banking engagements, bridging conceptual data structures and production-grade engineering.
Work across retail banking modernizations, mobile banking backends, and real-time digital customer journeys; govern vendor build quality and engage senior stakeholders.
What you’ll do
- Own and maintain canonical data models, schemas, and business glossaries to ensure semantic consistency across project streams.
- Set firm-wide standards for pipeline frameworks, code quality, automated testing, environments, and CI/CD.
- Direct senior data engineers in project squads to promote shared components, architecture principles, and engineering patterns.
- Review vendor code and approaches, and audit data artifacts before production release.
- Assure Steering Committee engineering content and independently validate vendor progress and delivery claims.
- Test the technical basis of estimates and change requests, and investigate whether delays arise from code quality or environments.
What we’re looking for
- 10+ years of hands-on data engineering and modelling experience, including 4+ years leading engineering standards or platform teams in consultancies or major banks.
- Solid enterprise data modelling and engineering experience in Retail Banking environments.
- Direct experience with high-throughput, real-time data backends for consumer mobile banking apps and digital journeys.
- Deep conceptual, logical, and physical modelling expertise, including ERD, Data Vault 2.0, Dimensional/Kimball, and JSON/Avro across batch and streaming systems.
- Exceptional verbal, written, and visual communication; able to present executive-ready engineering insights and defend standards with senior stakeholders.
- Advanced fluency in SQL, Python, PySpark/Databricks, Snowflake/BigQuery, Kafka/Event Hubs, dbt, and AWS/Azure is an advantage.
- UAE or GCC major-bank experience leading data engineering or modelling initiatives is an advantage.
Communication and leadership
- Translate complex engineering metrics and decisions into clear business and executive communications.
- Present to executives, defend engineering standards, and manage vendor friction constructively.
Benefits
- Competitive salary and comprehensive Gold Level personal health insurance.
- Individual visa sponsorship, professional development and certification support, and role-related subscription reimbursement.
- Monthly employee incentive program, career advancement opportunities, and work on AI projects.
About Deeplight
Deeplight is an AI and data consultancy delivering enterprise systems, with experience in UAE financial services and retail banking.
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