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Data Modelling & Engineering Lead

Deeplight AI
Abu Dhabi, UAE
Full-time
Mid-Senior
Onsite
Discovered 1 weeks ago
Enterprise data modellingData engineeringRetail bankingReal-time data backendsMobile banking applicationsData Vault 2.0

Full Job Posting

About Deeplight AI

Deeplight is an AI and data consultancy building secure, scalable enterprise platforms using quantitative expertise, cloud architecture, and MLOps.

The consultancy works with UAE financial institutions on banking data models, pipeline architectures, and digital transformation programmes.

The opportunity

The Data Modelling & Engineering Lead has single accountability for enterprise data models, business definitions, pipeline code quality, and engineering standards across banking engagements.

The role spans retail banking modernizations, mobile banking backends, and real-time digital customer journeys, with senior data engineers embedded in project squads.

What you'll do

  • Own and maintain canonical data models, schemas, and business glossaries, ensuring semantic consistency across project streams.
  • Set engineering standards for pipeline frameworks, code quality, automated testing, environment strategies, and CI/CD.
  • Direct senior project engineers and align adoption of shared components, architecture principles, and engineering patterns.
  • Review vendor codebases and engineering approaches, and audit data artifacts before production release.
  • Assure engineering content in Steering Committee packs and validate vendor delivery claims.
  • Evaluate estimates and change requests, and investigate project delays related to code quality or environments.
  • Communicate technical decisions and present engineering outcomes 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.
  • Experience modelling and engineering enterprise data solutions in Retail Banking Group environments.
  • Experience building or modelling high-throughput, real-time 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.
  • Strong verbal, written, and visual communication, including translating engineering metrics for executives.
  • Ability to present to executives, defend engineering standards under scrutiny, and manage vendor friction constructively.

Additional technical fluency

  • Advanced SQL, Python, PySpark/Databricks, Snowflake/BigQuery, Kafka/Event Hubs, dbt, and AWS/Azure data platform fluency is described as an edge.
  • UAE or GCC banking experience leading data engineering or modelling initiatives is described as an edge.

Benefits

  • Benefits include health insurance, visa sponsorship, professional development and certification support, role-related subscription reimbursement, a monthly employee incentive programme, and career advancement opportunities.
  • The role offers a competitive salary and the opportunity to work on AI projects.

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