Data Modeller

  • Contract
  • London/Remote
  • Rate: c. £400-£600 Per Day
  • Reference: J19192

Data Modeller : Consultancy Background

A World Leading Energy Company has an exciting opportunity for a Data Modeller to join their innovative team working across a variety of global projects.

Job Description:


• Enterprise Data Modelling in Analytics and ERP in Azure environments
• Identify and propose potential data model and data integration changes and improvements, including decommissioning systems and master data management solutions, data services.
• Maintain knowledge of compliance and regulatory requirements, including data privacy regulations (e.g. GDPR), and ensure that those are included in data architecture design decisions.
• Collaborate with solution architect and project team to design the solution that meets data specific requirements (business, regulatory, quality, privacy, etc)

Special Challenges:

• Excellent data modelling skills, and a solid understanding of what makes a robust and scalable data architecture are a must
• Solid understanding of technologies involved in data management is required (data base management systems, data services, etc.)
• Experience and good skills in business and IM/IT requirements gathering and business analysis

Skills & Requirements:

• Clear demonstration of Enterprise Data Modelling skills that have worked in Analytics and ERP in cloud environments (preferably Azure) where possible
• Most of the following is required: BizzDesign, PowerDesigner, Collibra, SQL Modelling, Big Data Modelling (Hive/Spark), API , TOGAF would be great
• Minimum of 5 years’ experience as a Data Modeller
• Consultancy background helpful but not essential
• Ability to work independently within large global data modelling team essential
• Deliverable-oriented with focus on results, Doer/hands-on attitude
• Organized and methodical. Ability to initiate, plan and develop according to plan though coping with a level of uncertainty and risk
• Rigorous, thorough and with a taste for detail
• Experience in a multi-disciplined IT environment with strong expertise in Data Analysis and Modeling

• Experienced, global, virtual team worker

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