Data Vault Modeller – Banking & Data, DV 2.0 Expert

EY; Singapore; On-site; SGD 120,000 - 180,000; Full time

Benefits offered by this job

Flexible working arrangements

Continuous learning opportunities

Inclusive, diverse culture

Job summary

EY is seeking a hands-on Data Vault Modeller to support the design and implementation of modern enterprise data platforms. The successful candidate will work alongside data architects, engineers, and business analysts to build scalable Data Vault 2.0 models supporting regulatory reporting, analytics, and AI use cases.

This role is ideal for practitioners who enjoy translating complex business requirements into robust and auditable data models.

Qualifications

• 3–6 years of experience in data modelling, data warehousing, or data engineering.
• Practical experience with Data Vault 2.0 methodologies.
• Understanding of Hub design / Link modelling / Satellite historization / Surrogate and hash key generation
• Experience creating source-to-target mappings.

Responsibilities

• Develop Data Vault 2.0 structures including: Hubs / Links / Satellites
• Assist in creation of: Business Vault assets / PIT tables / Bridge tables / Dimensional models
• Analyse source systems and identify business keys, relationships, and historical tracking requirements.
• Support logical and physical data model development.
• Work with data engineers to implement Data Vault models on cloud-based data platforms.
• Contribute to metadata, lineage, and audit design activities.
• Participate in data profiling and data quality assessments.
• Support business analysts and architects in requirements analysis workshops.
• Prepare design documentation, modelling standards, and implementation artefacts.

Skills

Data Vault 2.0 concepts

SQL proficiency

Analytical thinking

Stakeholder collaboration

Education

Data Vault 2.0 Certification

Tools

Databricks

Snowflake

Azure Data Platform

ER/Studio

ERwin

SAP PowerDesigner

Job description

EY is seeking a hands-on Data Vault Modeller to support the design and implementation of modern enterprise data platforms. The successful candidate will work alongside data architects, engineers, and business analysts to build scalable Data Vault 2.0 models supporting regulatory reporting, analytics, and AI use cases.

This role is ideal for practitioners who enjoy translating complex business requirements into robust and auditable data models.