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.
Overview:
- 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