Data Modelling & Engineering Lead

Opportunity

What you’ll do

• Own, design, and maintain canonical data models, schemas, and business glossaries to ensure semantic consistency across project streams.
• Set engineering standards for pipeline frameworks, code quality, automated testing, environment strategies, and CI/CD automation.
• Direct senior data engineers embedded in project squads and align their work with shared components, architecture principles, and engineering patterns.
• Conduct hands-on reviews of vendor codebases, evaluate engineering approaches, and audit data artifacts before production release.
• Review engineering content in Steering Committee packs and independently validate vendors’ completion and delivery-velocity claims.
• Test whether engineering estimates and change requests are technically justified.
• Investigate project delays to determine whether code quality or environment issues are the cause.
• Present technical decisions and solutions persuasively, build trust, and explain their business value to senior stakeholders.

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 experience modelling and engineering enterprise data solutions in Retail Banking Group environments.
• Direct experience building or modelling high-throughput, real-time data backends for consumer mobile banking apps and digital customer journeys.
• Deep conceptual, logical, and physical data modelling expertise, including ERD, Data Vault 2.0, Dimensional/Kimball, and JSON/Avro, across batch and real-time streaming.
• Exceptional verbal, written, and visual communication, including translating complex engineering metrics into executive-ready insights.
• Proven ability to present to technical and business executives, defend standards under scrutiny, and manage vendor friction constructively.

Additional technical strengths

• Advanced fluency in SQL, Python, PySpark/Databricks, Snowflake/BigQuery, Kafka/Event Hubs, dbt, and AWS/Azure cloud data platforms is an advantage.
• Direct experience leading data engineering or modelling initiatives for major banks in the UAE or GCC is an advantage.

Benefits

• Competitive salary, personal health insurance, visa sponsorship, and professional development and certification support.
• Role-related subscription reimbursement, monthly employee incentive program, and career advancement opportunities.
• Opportunity to work on AI projects with technical peers and serve as an engineering authority to executive client sponsors.