Data Modeller

Location:
Cheshire
Job Type:
Contract
Industry:
Digital Workspace
Job reference:
BBBH388586_1733255695
Posted:
21 days ago

Role: Data Modeller

Location: Wilmslow (Hybrid - 2/3 days per week onsite)

Duration: 6 Months

Day rate: Negotiable inside IR35

Role Description:

  • Applies wide data modelling knowledge at all levels (conceptual, logical and physical), plus physical warehouse data structured design experience within an Agile development environment.
  • Working potentially over multiple projects at any one time, so ability to multi-task and balance competing priorities important.
  • Chairs data model design review sessions when required
  • Maintains data modelling standards and reviews data model design for compliance.
  • Present to the Data Design Authority (or other design authority bodies) when required on data modelling\design related topics.
  • Defines the data mapping and transforms from source to target entities in the data model, working closely with data engineers, source system SMEs and technical BAs.

Required Skills:

  • Expertise: Demonstrable experience and expertise of all levels of data modelling - conceptual, logical and physical and the various data design approaches used in modern data platform such as relational, dimensional, data-vault and de-normalised big table and the correct application of each approach.
  • Proven Experience: Demonstrates a proven track record in data modelling for complex, multi-vendor programmes and matrix-led engagements.
  • Pragmatic approach: always focused on delivering business value and balancing the trade-offs between design purity and value delivery.
  • Excellent interpersonal skills: ability to clearly explain complex data modelling and data design concepts to others in the technical team and those in senior less technical roles.
  • Ability to work closely with third-party authorities and MSA suppliers\partners and has a good understanding of regulations and legislation within the financial services market.
  • Technical Proficiency: Skilled in using data modelling tools (Idera ER/Studio or similar such as Erwin). ETL\Data pipeline exposure, ideally with hands on experience on a number of integration tools such as Azure Data Factory and Qlik.
  • Expert level SQL skills.
  • Exposure to Azure Databricks and Databricks Notebooks (optional).
Back to Search Results