Senior Data Modeler

Deeplight; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading AI consultancy seeks a Senior Data Modeller to design and evolve data models in the banking sector. This role requires 5–10+ years of experience in data modelling and strong SQL skills. Responsibilities include hands-on data analysis, standardizing data definitions, and engaging with stakeholders. The position offers a competitive salary, health insurance, and opportunities for professional growth and flexible working arrangements.

Benefits

Competitive salary

Comprehensive health insurance

Professional development support

Flexible working arrangements

Career advancement opportunities

Qualifications

• 5–10+ years in data modelling or hands-on data analysis, ideally in banking/financial services.
• Strong conceptual/logical modelling capability.
• Experience with complex datasets and SQL.

Responsibilities

• Design data models across core banking domains.
• Conduct hands-on SQL analysis to profile datasets.
• Drive standardization of data definitions and produce artefacts.

Skills

Data modelling

SQL

Stakeholder engagement

Communication skills

Data architecture awareness

Job description

DeepLightAI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, withdepthin financial services and banking. Our team combines deepexpertisein data science, statisticalmodeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.

TheSenior Data Modeller deliversenterprise-wide data foundations in a complex banking environment. Therole combinesenterprise/domain data modelling,hands-on data analysis, andpractical data architecture inputto improve how data is structured, understood, and trusted across the organisation.

We value candidates who bring amodern, forward-looking approache.g., exposure toAI-assisted modelling/discoveryand an understanding of how data platforms, metadata and semantic concepts can improve modelling productivity and consistency.

What we need you to have

• Designing and evolvingconceptual and logical data modelsacross core banking domains.

• Performinghands-on SQL analysisto profile datasets,validatedefinitions, reconcile discrepancies, andidentifygaps.

• Providing modelling-alignedarchitecture inputs(conformed entities, keys, reference/master data approach, integration patterns, semantic layer considerations).

• Driving standardisation ofdata definitionsand produce practical artefacts (data dictionary/glossary, mappings, documentation).

• Partnering with delivery teams to supportmetadata, lineage, and governance-aligned documentation, and ensure modelling decisions are adopted

We’d like you to have

• 5–10+ yearsin data modelling and/or hands-on data analysis, ideally inbanking/financial services.

• Strongconceptual/logical modellingcapability and ability to translate business needs into implementable structures.

• StrongSQLand confidence working directly with complex datasets.

• Strong stakeholder engagement and clear communication/documentation skills.

• Enterprise data modelling (banking-grade):can structure domains end-to-end (customer/account/product/transaction etc.) with clear keys, relationships, and definitions.

• Hands-on data analyst mindset:strong SQL + profiling/reconciliation; comfortable working directly with messy real-world bank data to provewhat’strue.

• Data architecture awareness:can design models that land well in alakehouse(layering, conformed entities, semantic alignment) and work acrossrelational + semi/unstructureddata.

• Delivery + stakeholder execution:can run working sessions, drive decisions, produce usable artefacts (dictionary/glossary/mappings) and keep momentum with platform/engineering teams

What we’d like you to have

• Forward-thinking modelling:exposure toAI/GenAI-assisted modelling/discovery(automation of documentation/metadata, semantic modelling concepts, knowledge-graph thinking).

• Data quality & observability orientation:experience defining critical elements, data quality checks/metrics, and supporting “data contracts”/early issue detection patterns.

• Lakehouse + enterprise BI/semanticfamiliarity:understands how models support analytics/MIS-style consumption and tool rationalisation decisions.

• Consulting background (nice signal):Big 4 / Accenture / Capgemini or similar (optional, notrequired).

Benefits & Growth Opportunities

·Competitive salary and performance bonuses

·Comprehensive health insurance

·Professional development and certification support

·Opportunity to work on cutting-edge AI projects

·Flexible working arrangements

·Career advancement opportunities in a rapidly growing AI company

This position offers a unique opportunity to shape the future of AI implementation while working with a talented team of professionals at the forefront of technological innovation. The successful candidate will play a crucial role in driving our company's success in delivering transformative AI solutions to our clients.

AtDeepLightAI, we recognise that diversity drives innovation. We are committed to fostering an inclusive environment where individuals with different thinking styles can thrive and contribute their unique strengths to our specialised AI and data solutions.

Our goal is to ensure our application and interview process is accessible, predictable, and fair for all candidates.

If you require any specific adjustments to the application process, or if yourequireany reasonable adjustments should you be successful in being processed to the interview stage, please do let us know. This information will be kept strictly confidential and will notimpacthiring decisions.