Description:
We have a great opportunity for an experienced Data Modeler who has good Data Vault experience to join a global Insurance firm based in Surrey.
This is a fantastic opportunity to join a Data Architecture team as a Data Modeler with Data Vault experience. You will join a global Transformation programme, truly immense programme in terms of size.
The successful Data Modeler will be proficient in modelling while using Data Vault. You will demonstrate a solid understanding of conceptional and logical data modelling. You should have a deep knowledge of Data Vault including business Data Vault and Data Vault automation.
Some duties include:
· Design and implement data models that organise and structure in a
way that facilitates data harmonisation across multiple lines of business.
· Drive the extension and expansion of the Enterprise Data Model,
tailoring it to the evolving needs of the business.
· Innovate by modelling new data domains and attributes, focusing
on customer, product, and proposition data.
· Engage in both conceptual and logical modelling to effectively
map critical data elements from various source systems.
· Ensure seamless integration and compatibility of new systems with
the existing data model.
· Collaborate within an agile delivery team, contributing to the
team's success through your expertise and insights.
· Ensure data from various sources is integrated seamlessly into
our data architecture and data is consistent and accurate across systems.
· Creation of master matrix and reference data collection
· Develop and implement data governance policies and procedures to
ensure data is managed ethically, securely and in compliance with Regulatory
requirements.
· Data platforms used: SAS, Oracle, Cloud.
· They use Data Vault – Essential you have this experience*
Organization | Hawksworth |
Industry | Other Jobs Jobs |
Occupational Category | Data Modeler |
Job Location | Surrey,UK |
Shift Type | Morning |
Job Type | Full Time |
Gender | No Preference |
Career Level | Intermediate |
Experience | 2 Years |
Posted at | 2024-03-06 5:38 pm |
Expires on | 2025-01-26 |