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Data Engineer / Retail / Outside IR35 / Hybrid

  • Location: Burton-on-Trent
  • Salary: Negotiable per hour
  • Job Type:Contract

Posted about 1 month ago

  • Sector: Business Transformation
  • Contact: Hannah Clifford
  • Duration: 6 Months
  • Start Date: ASAP
  • Expiry Date: 06 August 2022
  • Job Ref: JN -072022-471985

My major retail client is looking for a experienced Data Engineer to work on a mass digital transformation programme. This project will include working on a new CRM System.


  • Map the requirements of technical integrations and patterns required to deliver Customer Engagement Solutions.
  • Work with the data architect, data owners and key stakeholders to map a detailed architectural design on data for Customer Engagement Solutions.
  • Review data and integration requirements against constraints, volumes, and existing supplier integration capabilities and define any requirements for supporting change.
  • Map collection points of data and mechanisms / controls in place or required to keep data clean and standardised. Work with business stakeholders to define and implement necessary data quality rules.
  • Work with the data architect to define data standardisation and target data structure(s).
  • Document the process of introducing new data sources ensuring that this conforms to standards.
  • Work with business stakeholders to catalogue volume, complexity, structure, and quality of data sources needed to support programme delivery.
  • Execute data cleanse based on understanding of quality in current state and need.
  • Document cross-functional reporting and analytics requirements resulting from Customer Engagement Programme transformation.

Person Specification

  • Extensive experience in architecting technical data integrations.
  • Excellent understanding of data modelling and data schema design.
  • Expert knowledge in data management tools and quality processes.
  • Experience in executing data cleanse activity.
  • Experienced in handling customer data in a B2C organisation.
  • Knowledge of data protection and governance processes