Data Modeller

Posted 26 April by Addition
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We are currently recruiting for one of our trusted clients for the role of a Data Modeller. This is the chance for you to join a leading insurance provider for new properties!

What You Can Expect

  • Work Type - 9-month contract (with room for extension) 2 headcount
  • Location - Milton Keynes (Hybrid)
  • Industry - Insurance
  • Salary - £500 - £650pd outside IR35

Main Responsibilities as a Data Modeller

  • Designing the structure of the data warehouses and databases to achieve data accuracy.
  • Designing and implementing data models as a blueprint for organising and integrating data from multiple sources.
  • Ensuring the data modelling standards and best practices are consistent across the business.
  • Establishing data governance policies and procedures to maintain data quality.
  • Working on data transformation projects including the migration of data from legacy systems to modern data platforms such as Snowflake.
  • Acting as the bridge between technical requirements and business objectives to ensure alignment amongst the teams.
  • Working closely with stakeholders across the business.
  • Assessing the data landscape to identify potential opportunities for optimisation.

Experience & Skills Required

  • 5+ years of experience as a Data Modeller
  • Experience with Dimensional Modelling.
  • Strong experience using Snowflake
  • Experience with Informatica, DBT or Power BI
  • Background working in Insurance would be desirable
  • Background in engineering would be desirable

What’s in it For You?

  • Amazing company to work for
  • Immediate start.
  • Hybrid working (1 day in the officer per week)

For further information on this Data Modeller role apply below

We are an equal opportunity employer and value diversity at our company. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

By applying, you confirm you are happy to be added to the Addition mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Reference: 52543360

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