Data Modeller - Levick Stanley : Job Details

Data Modeller

Levick Stanley

Job Location : London, UK

Posted on : 31/01/2025 - Valid Till : 14/03/2025

Job Description :

Job Title: Data Modeller

Location: London or Manchester offices

Office Frequency: Hybrid model

Contract Type: Permanent

Salary: Competitive + Benefits

An exciting opportunity has arisen to join one of the UK’s leading property providers as a Data Modeller, playing a key role in shaping enterprise-wide data structures and strategies. This role offers the chance to drive impactful data solutions, ensuring data integrity, interoperability, and enhanced decision-making across the organisation.

Key Responsibilities:

  • Develop and maintain business information/data models, including master and reference data management.
  • Define key data objects, relationships, and business rules to support enterprise-wide data strategy.
  • Collaborate with stakeholders to align data models with business needs, ensuring seamless system integration.
  • Support data engineering teams by providing logical and dimensional models for BI and analytics.
  • Drive data literacy by developing and promoting glossaries, dictionaries, and data policies.
  • Contribute to the adoption of national and industry data standards.

Key Requirements:

  • Strong experience in data modelling and data architecture, with expertise in DAMA framework and Kimball/Inmon methodologies.
  • Proficiency in Data Modelling tools like ERWIN, with experience designing complex entity-relationship (E-R) and data warehouse models.
  • Experience in SQL database management, data lakes, and star schema design.
  • Solid understanding of master data management, metadata management, and data governance.
  • Strong communication and stakeholder engagement skills to translate complex data concepts into business-friendly terms.
  • Familiarity with BI & analytics, IT systems architecture, and Agile/Waterfall methodologies.

If you're passionate about data design, stakeholder collaboration, and driving insights, apply today!

Salary : -

Apply Now!

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