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Data Modeler

5-7 Years
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  • Posted 11 hours ago
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Job Description

Data Modeller

Location: Makati City (Hybrid – 1 day onsite per week)

Schedule: Monday to Friday, 9:00 AM – 6:00 PM

We are seeking an experienced Data Modeller to join a growing data team supporting enterprise-wide data initiatives. This role requires a strong background in data modelling, hands-on experience with Microsoft Azure and Databricks, and a deep understanding of the Asset Management domain.

Key Responsibilities

  • Design, develop, and maintain conceptual, logical, and physical data models to support business and analytics requirements.
  • Partner with business stakeholders, data engineers, and architects to translate Asset Management requirements into scalable data solutions.
  • Develop and optimize enterprise data models to support reporting, analytics, and operational data use cases.
  • Ensure data quality, consistency, governance, and adherence to modelling standards.
  • Support cloud-based data platform initiatives, including data integration, transformation, and migration activities.
  • Maintain data dictionaries, metadata repositories, and technical documentation.
  • Collaborate within Agile teams and contribute to project planning, delivery, and continuous improvement initiatives.

Required Skills and Experience

  • Minimum of 5 years of experience in Data Modelling.
  • Strong business domain knowledge within Asset Management.
  • Proven experience implementing data models on Microsoft Azure platforms.
  • Hands-on experience with Databricks in enterprise data environments.
  • Strong proficiency in Python.
  • Experience working with Agile delivery methodologies.
  • Familiarity with Jira, Confluence, and Azure DevOps.
  • Strong communication and stakeholder management skills.

Technology Stack

  • Microsoft Azure
  • Databricks
  • Python
  • Jira
  • Confluence
  • Azure DevOps

If you have a strong foundation in data modelling and experience delivering cloud-based data solutions within the Asset Management sector, we would like to hear from you.

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Job ID: 148949945