140772 - Business Intelligence Engineer II

Business Intelligence Engineer II Location: London - Hybrid Length: 01/09/2025 - 28/02/2026 Rate: £451 per day Hours: 9am-6pm Job Description: The EU Everyday Essentials (EE) team is looking for a passionate, customer-obsessed individual to help us build tomorrow's EE business, for an 8-month fixed-term contract in replacement of a maternity leave. As Business Intelligence Engineer, you will be driving force powering the team's data, engineering and analytical needs. You will be involved in EU-wide strategic projects to drive growth and reduce cost-to-serve working with product managers, data engineers/scientists across many partner teams spanning across Retail/3P, Finance, Tech, Ops and/or your worldwide counterparts. You will be deeply. You will also interact frequently with the EU senior leadership, and you will directly shape the future of this segment.In this fast-paced environment, the individual should display strong flexibility and work ethic, along with deep business and analytical acumen, with experience working with technology and engineering teams Key job responsibilities:

• Engage stakeholders in constructive dialogues to convert problem statements into logic problems that can be solved with data and scripting.
• Be integral part of the design process for new initiatives and nascent workstreams. You will apply your business sense to help bring the vision to life.
•  Design, develop, and implement scalable, automated processes for big data extraction, processing, and analysis.
•  Support the development on new reports/dashboards to inform business reviews, business case modelling for new initiatives, tracking of inputs/outputs, and more emerging strategy efforts.
• Design, build and maintain end-to-end data pipelines to scale and automate our processes.
• Build insights-oriented visualization tools (e.g., Quicksight, Tableau, Excel) to enhance existing ways to empower the team and partner teams.
• Help develop, upskill and empower team members through trainings and efficient knowledge management.

Base qualifications:

• Experience in analysing and interpreting data with Redshift, Oracle, NoSQL etc.
• Experience with data visualization using Tableau, Quicksight, or similar tools
• Experience with data modelling, warehousing and building ETL pipelines
• Experience in Statistical Analysis packages such as R, SAS and Matlab
• Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modelling
• Experience with SQL
• Experience in the data/BI space

Top 3 Must Have Skills:

• SQL
• QuickSight
• Pipeline Engineering, ETL, Python