Deeplight is a specialist AI and data consultancy dedicated to transforming the regional corporate landscape through bespoke, high-impact intelligent systems. We combine deep quantitative expertise, cutting-edge cloud architecture, and modern MLOps to engineer secure, scalable, and resilient platforms designed to power enterprise AI and digital solutions at scale.
With deep roots across the financial services and retail banking sectors in the UAE, we help major financial institutions bridge the gap between complex digital transformation roadmaps and execution. We don't build temporary fixes—we engineer bulletproof, banking-grade data models and pipeline architectures for high-stakes enterprise programs.
The OpportunityWe are seeking an exceptionally skilled and articulate Data Modelling & Engineering Lead to take single accountability for enterprise data models, business definitions, pipeline code quality, and engineering standards across our major banking engagements in Dubai.
Supported by senior data engineers embedded within dedicated project squads, you will bridge the gap between conceptual data structures and production-grade engineering. Operating across Retail Banking Group (RBG) modernizations, mobile banking backends, and real-time digital customer journeys, you will govern third-party vendor build quality, audit technical progress claims, evaluate change requests, and present confidently to C-level stakeholders—defending engineering rigor and standing up to pushback with clarity and gravitas.
What You'll Do- Own Enterprise Data Models & Glossaries: Own, design, and maintain canonical data models, schemas, and business glossaries—ensuring semantic consistency across all project streams and preventing data fragmentation.
- Set Platform & Pipeline Standards: Establish firm-wide engineering standards covering pipeline frameworks, code quality, automated testing (unit/integration/data quality), environment strategies, and CI/CD automation.
- Direct Senior Project Engineers: Direct and align senior data engineers embedded in project squads to ensure consistent adoption of shared components, architecture principles, and engineering patterns.
- Oversee Vendor Build Quality: Conduct hands‑on technical reviews of vendor codebases, evaluate engineering approaches, and audit delivered data artifacts prior to production release.
- Assure Steer Co Content & Progress Claims: Review and assure the engineering content within Steering Committee (Steer Co) packs, independently auditing and validating vendor claims of task completion and delivery velocity.
- Validate Estimates & Investigate Delays: Test whether engineering estimates and Change Requests (CRs) are technically justified, and conduct root‑cause analysis to verify whether project delays stem from code quality or environment issues.
As an AI consultancy, our greatest asset is the expertise of our people.
While technical mastery is the foundation of what we do, the ability to bridge the gap between complex data science and actionable business value is what defines your success with Deeplight.
We're looking for individuals who are not only world‑class in their fields of specialism, but also compelling communicators and persuasive advocates for their own skills.
You will be the face of our firm, tasked with building trust, articulating the "why" behind your technical decisions, and effectively "selling" your vision to high‑level stakeholders.
If you thrive on the challenge of presenting cutting‑edge solutions as much as you do on building them, you will fit right in.
- Proven Engineering Leadership: 10+ years of hands‑on data engineering and modelling experience, with 4+ years leading engineering standards or platform teams in…
(If this job is in fact in your jurisdiction, then you may be using a Proxy or VPN to access this site, and to progress further, you should change your connectivity to another mobile device or PC).