145044 - Business Intelligence Engineer

Business Intelligence Engineer II Location: London, UK Length: 6 Months Rate: £406.48 - £451.68 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 our client Earth's 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. If 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 modelling 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 (Quick sight) Required Skills: - Strong analytical and problem-solving abilities - Excellent understanding of dimensional modelling 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 Top 3 must – have skills: • Business Intelligence (Data modelling, data warehousing, Dashboarding) • SQL & Python • AWS (S3, Lambda, Glue, Redshift) 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)