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 (, 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
