Data Modeler (Contract)

Our client is a leading life insurer building modern data, analytic, and digital capabilities across multiple markets in the region. The Data Modeller will be owning the design of enterprise and domain data models for a leading insurer covering policy, customer, product, claims, and finance. Models will support reporting, operations, analytic, and AI.

Lead modelling from requirements and subject-area analysis through mapping and validation
Create conceptual, logical, and physical models with clear entities, keys, relationships, grain, history, and business rules
Design dimensional, normalised, canonical, and data-product schemas to fit each use case
Work with BAs and SMEs to confirm definitions, ownership, and model scope
Align designs to the enterprise data model, glossary, MDM/reference data standards, and governance policies
Review source systems, find overlaps or gaps, and recommend reusable patterns that avoid double counting
Work with engineers to implement models in databases, lake house tables, API's, events, and semantic layers
Define data quality, lineage, classification, retention, and sensitive-data controls with governance and security
Keep model repositories, naming standards, version history, and documentation up to date


Your Profile





Bachelor's degree in Computer Science, Information Systems, Data Management, or a related field (postgraduate qualification a plus)
5+ years in data modelling, data architecture, data warehousing, BI, or data engineering
Proven experience designing conceptual, logical, and physical models for enterprise solutions
Insurance experience strongly preferred (policy, product, customer, agent, claims, billing, payments, actuarial, or reinsurance)
Experience working with both business and technology teams in a regulated environment is an advantage

Technical skills

Strong relational, dimensional, and canonical modelling (including normalisation and SCDs)
Able to define grain, keys, relationships, history, and reconciliation controls
Hands-on with erwin, ER/Studio, or similar modelling tools
Strong SQL, including data profiling to validate model design
Working knowledge of metadata, business glossaries, lineage, data quality, MDM, and reference data
Cloud/lake house experience (Azure, AWS, Databricks, Delta Lake, EDW) is an advantage
Familiarity with batch, API, and event structures (JSON, Avro, Kafka) is an advantage

How you work

Clear communicator who can explain models to business and technical audiences
Strong stakeholder management, facilitation, and requirement-gathering skills
Practical and collaborative - balances enterprise standards with delivery
Organised, detail-oriented, and able to manage multiple priorities with solid documentation








Competitive contract package
5-day work week
Hybrid working
Exposure to group-wide insurance data models across multiple Asian markets
Hands-on work on conceptual, logical, and physical models for policy, customer, claims, product, and finance
Modern data stack (lake-house, cloud, governance, analytical / AI use cases)
Strong CV profile with a listed pan-Asian life insurer