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Senior Data Modeller

Senior Data Modeller

Location: Glasgow or Manchester

Working: Hybrid, 50% office / 50% home

Type: Permanent


We’re looking for a Senior Data Modeller to join a large-scale data transformation programme in a pensions & investment firm, helping build trusted data products that support analytics, reporting, data science and AI.


The Role


  • Design and maintain enterprise and domain-based data models
  • Analyse and integrate complex data sources
  • Develop source-to-target mappings across batch, real-time and streaming data
  • Support the evolution of an enterprise data model and data products
  • Produce data modelling, mapping and design documentation
  • Work closely with data engineers, architects, business stakeholders and third parties
  • Present technical designs and recommendations to senior stakeholders


What We’re Looking For


  • Strong experience in data modelling, mapping and enterprise data architecture
  • Knowledge of Kimball/Inmon, star schemas, fact/dimension modelling, OLAP, data lakes and ERDs
  • Experience with modelling tools such as ER/Studio, Erwin or Sparx EA
  • Experience with Azure data services, particularly Azure Data Factory or Databricks
  • Strong understanding of ETL, CDC, data integration and transformation
  • Experience working in complex, agile and/or multi-vendor environments
  • Strong communication and stakeholder management skills


Experience within financial services or another regulated environment would be advantageous but not a hard ask.


The role offers:

e

  • Hybrid working, with approximately 50% home / 50% office.
  • 28 days annual leave plus bank holidays.
  • Employer pension contributions of up to 14% and discrestionary bonus.
  • Private medical insurance.
  • The opportunity to work with modern cloud data platforms and large-scale enterprise data architecture.



If you’re a Data Modeller or Analytics Engineer looking for the opportunity to work on a significant enterprise data platform and help shape the foundations for analytics and AI, we’d love to hear from you.

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