140420- Business Intelligence Engineer

Business Intelligence Engineer

Location: London, UK
Length: 6 Months
Start date: 21/07/2025
Rate: £350 – £400 per day
Hours: 40 hours per week

Overview
Hard work, a passion for innovation, and zealous advocacy for the needs of our customers have made It the most customer-centric company. This would not be possible without the tools and expertise we use to understand customer behaviour. The Senior Business Intelligence Engineer occupies a unique role at the intersection of technology, marketing, finance, statistics, data mining, and social science. We provide the key insight into customer behaviour necessary to guide the evolution of business strategy.
Ff you are motivated to serve the needs of our customers; you will also be able to satisfy your curiosity working with one of the world’s largest datasets. We seek candidates who are passionate about data analysis and data-driven decision making, uncompromisingly detail oriented, smart, efficient, and driven to help our business succeed by providing key insights that translate into action.

Key Responsibilities:
Build End to End dashboarding solutions to optimize EU CF Operations using AWS
Data source exploration, data warehousing expansion, horizontal datasets for downstream consumption.
Work with customers to build Dashboards with the right KPIs, Metrics for decision making
Data Quality checks, ETL/ELT processes, automation

Technical Requirements:
Strong proficiency in SQL and Python programming
Extensive experience with data modeling and data warehouse concepts
Advanced knowledge of AWS data services, including: S3, Redshift, AWS Glue, AWS Lambda
Experience with Infrastructure as Code using AWS CDK
Proficiency in ETL/ELT processes and best practices
Experience with data visualization tools (Quicksight)

Required Skills:

Strong analytical and problem-solving abilities
Excellent understanding of dimensional modeling and star schema design (Facts, dimensions, scd type 2)
Experience with agile development methodologies
Strong communication skills and ability to work with cross-functional teams
Background in data governance and security best practices

Preferred Qualifications:
Master’s degree in Computer Science, Information Systems, or related field
AWS certifications (Solutions Architect, Data Analytics)
Experience with real-time data processing
Experience with version control systems (Git)