

Business Intelligence Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Intelligence Engineer, 12-month contract, remote in London, UK, at £451.68 per day. Requires strong SQL, Python, AWS expertise, data modeling, ETL/ELT experience, and knowledge of data governance. AWS certifications preferred.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
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💰 - Day rate
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🗓️ - Date discovered
August 19, 2025
🕒 - Project duration
More than 6 months
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🏝️ - Location type
Remote
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📄 - Contract type
Unknown
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🔒 - Security clearance
Unknown
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📍 - Location detailed
London
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🧠 - Skills detailed
#Security #Programming #Version Control #Schema Design #Infrastructure as Code (IaC) #Data Quality #Visualization #S3 (Amazon Simple Storage Service) #BI (Business Intelligence) #AWS (Amazon Web Services) #AWS Lambda #Redshift #Data Warehouse #Data Processing #Datasets #Agile #Automation #Data Governance #Computer Science #Data Modeling #Python #"ETL (Extract #Transform #Load)" #Lambda (AWS Lambda) #AWS Glue #SQL (Structured Query Language)
Role description
Business Intelligence Engineer
Location: London, UK Remote
Length: 12 Months
Start Date: Asap
Rate: £451.68 per day
Hours: 40 hours per week
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 CDs
• Proficiency in ETL/ELT processes and best practices
• Experience with data visualization tools (Quicksight)
• 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
Must have Skills:
• Business Intelligence (Data modelling, data warehousing, Dashboarding)
• Technical: AWS, SQL Python
Business Intelligence Engineer
Location: London, UK Remote
Length: 12 Months
Start Date: Asap
Rate: £451.68 per day
Hours: 40 hours per week
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 CDs
• Proficiency in ETL/ELT processes and best practices
• Experience with data visualization tools (Quicksight)
• 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
Must have Skills:
• Business Intelligence (Data modelling, data warehousing, Dashboarding)
• Technical: AWS, SQL Python