Data Engineer SQL, Tableau – Retail – London/Remote

Salt Search

London, United Kingdom Full-time in I.T. & Communications
  • Salary: £300 - £350
  • Job ID 1481606

Job Description

Data Engineer (SQL, Tableau) – Retail – Remote

Day rate: £300 – £350 (Outside IR35)

Duration: 9 months

Start: ASAP

My client is looking for a Data engineer contractor to join the team.


  • Maintain and steer the Business Intelligence backlog and priorities Participate and lead scoping sessions with business stakeholders Responsible for translating business requirements into a technical solution and ensure we find the right solution for the end-user Communicate and design a technical architecture linked to source data, data models and reporting Making sure to have a consistent technical direction of the data deliverables to ensure a future proof architecture

You will have:

  • Hands-on experience as a Data Engineer, BI consultant, and or Data Analyst, ideally in Retail environment. We expect that you have a broad knowledge of common data platforms
  • Be an expert in SQL with in-depth understanding of data structures & databases
  • Excellent written and verbal communication skills, with the ability to engage and communicate with senior business-leaders
  • Previous experience working with several external development vendors and vendor management
  • Agile approach, in a fast-moving and dynamic business environment where operations and business requirements might quickly change
  • Bonus: Have experience with different source systems, including Tableau, Shopify Plus, NetSuite, Board

Data Strategy:

  • Conduct a thorough assessment of the current data landscape, including data sources, data quality, and data governance Define the organisation’s data strategy, outlining the vision, goals, and objectives for leveraging data Develop a roadmap for implementing the data strategy, including prioritized initiatives and key milestones Identify data gaps and recommend strategies for data acquisition, integration, and enrichment Define data governance policies and processes to ensure data accuracy, consistency, and compliance Provide guidance on data infrastructure and technology stack required to support the data strategy

Reporting and Analytics:

  • Identify key performance indicators and metrics Design and develop a reporting framework that provides actionable insights and supports data-driven decision making Define data visualisation standards and create intuitive dashboards and reports Implement self-service analytics capabilities, empowering business users to explore data and generate ad-hoc reports

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