Senior Data Modeler

Senior Data Modeler

DeepLight AI is a specialist AI and data consultancy with extensive experience implementing intelligent enterprise systems across multiple industries, with depth in financial services and banking. Our team combines deep expertise in data science, statistical modeling, AI/ML technologies, workflow automation, and systems integration with a practical understanding of complex business operations.

The Senior Data Modeller delivers enterprise-wide data foundations in a complex banking environment. The role combines enterprise/domain data modelling, hands on data analysis, and practical data architecture input to improve how data is structured, understood, and trusted across the organisation.

We value candidates who bring a modern, forward looking approach e.g., exposure to AI assisted modelling/discovery and an understanding of how data platforms, metadata and semantic concepts can improve modelling productivity and consistency.

Your responsibilities in this role include:

• Designing and evolving conceptual and logical data models across core banking domains.
• Performing hands on SQL analysis to profile datasets, validate definitions, reconcile discrepancies, and identify gaps.
• Providing modelling aligned architecture inputs (conformed entities, keys, reference/master data approach, integration patterns, semantic layer considerations).
• Driving standardisation of data definitions and producing practical artefacts (data dictionary/glossary, mappings, documentation).
• Partnering with delivery teams to support metadata, lineage, and governance aligned documentation, and ensuring modelling decisions are adopted.

Requirements

• 5 10+ years in data modelling and/or hands on data analysis, ideally in banking/financial services.
• Strong conceptual/logical modelling capability and ability to translate business needs into implementable structures.
• Strong SQL skills and 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 prove what's true.
• Data architecture awareness: can design models that land well in a lakehouse (layering, conformed entities, semantic alignment) and work across relational + semi/unstructured data.
• Delivery and 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 to AI/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/semantic familiarity: understand how models support analytics/MIS style consumption and tool rationalisation decisions.
• Consulting background (nice signal): Big 4 / Accenture / Capgemini or similar (optional, not required).

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.

At DeepLight AI, 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 you require any reasonable adjustments should you be successful in being processed to the interview stage, please let us know. This information will be kept strictly confidential and will not impact hiring decisions.