Business Intelligence Engineer

Business Intelligence Engineer

Hybrid – London

Up to £450 a day

Inside IR35

6 Months

Key Skills:

Business Intelligence (Data modelling, data warehousing, Dashboarding)

SQL & Python

AWS (S3, Lambda, Glue, Redshift)

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 behavior 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 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)

If you are interested please apply or send your CV to luke.sandilands@cpl.com