Data Engineer
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is a Data Engineer contract for 2 months, starting ASAP, with a pay rate of "X". Requires experience in FS/Building societies, expertise in ETL pipelines, Azure, AWS S3, advanced SQL, and Power BI for data analysis and reporting.
🌎 - Country
United Kingdom
💱 - Currency
£ GBP
-
💰 - Day rate
-
🗓️ - Date discovered
August 16, 2025
🕒 - Project duration
1 to 3 months
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
England, United Kingdom
-
🧠 - Skills detailed
#S3 (Amazon Simple Storage Service) #Cloud #AWS (Amazon Web Services) #Data Accuracy #Data Engineering #Data Analysis #Quality Assurance #Data Extraction #AWS S3 (Amazon Simple Storage Service) #Microsoft Power BI #Data Science #SQL (Structured Query Language) #Azure #BI (Business Intelligence) #Scripting #"ETL (Extract #Transform #Load)"
Role description
Our client is looking for a Data Engineer to join them on a contract basis for 2 months, starting ASAP.
Experience within FS / Building societies is preferred.
Key Responsibilities:TL Development & Maintenance: Design, build, and optimise ETL workflows to transfer data from Azure to AWS S3 with high integrity and performance.
TL Development & Maintenance: Design, build, and optimise ETL workflows to transfer data from Azure to AWS S3 with high integrity and performance.
Data Analysis & Reporting: Develop and maintain STATS files and data structures to deliver financial, regulatory, and operational reports. Heavy use of SQL for analysis and insight generation.
Quality Assurance: Conduct thorough QA on all ETL processes and pipelines to guarantee accuracy and reliability.
Self-Service Reporting: Enable business users with Power BI self-service tools, including data models and interfaces for easy access and analysis.
Collaboration: Partner with the Chief Data Scientist and development team to translate data requirements into actionable solutions.
Innovation: Continuously identify and implement improvements to data workflows, reporting, and architecture.
Essential Skills & Experience
Data Engineering - Demonstrated expertise in designing, building, and optimising ETL pipelines.
Cloud Platforms - Practical experience working with Azure and AWS S3 environments.
Database & Scripting - Advanced SQL skills for data extraction, transformation, and analysis.
Business Intelligence - Proven ability to design data models and build interfaces for BI tools, with a focus on Power BI.
Analytical Thinking - Strong problem-solving abilities, with meticulous attention to detail and data accuracy.
Communication: Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
About Korn Ferry
Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com
Our client is looking for a Data Engineer to join them on a contract basis for 2 months, starting ASAP.
Experience within FS / Building societies is preferred.
Key Responsibilities:TL Development & Maintenance: Design, build, and optimise ETL workflows to transfer data from Azure to AWS S3 with high integrity and performance.
TL Development & Maintenance: Design, build, and optimise ETL workflows to transfer data from Azure to AWS S3 with high integrity and performance.
Data Analysis & Reporting: Develop and maintain STATS files and data structures to deliver financial, regulatory, and operational reports. Heavy use of SQL for analysis and insight generation.
Quality Assurance: Conduct thorough QA on all ETL processes and pipelines to guarantee accuracy and reliability.
Self-Service Reporting: Enable business users with Power BI self-service tools, including data models and interfaces for easy access and analysis.
Collaboration: Partner with the Chief Data Scientist and development team to translate data requirements into actionable solutions.
Innovation: Continuously identify and implement improvements to data workflows, reporting, and architecture.
Essential Skills & Experience
Data Engineering - Demonstrated expertise in designing, building, and optimising ETL pipelines.
Cloud Platforms - Practical experience working with Azure and AWS S3 environments.
Database & Scripting - Advanced SQL skills for data extraction, transformation, and analysis.
Business Intelligence - Proven ability to design data models and build interfaces for BI tools, with a focus on Power BI.
Analytical Thinking - Strong problem-solving abilities, with meticulous attention to detail and data accuracy.
Communication: Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
About Korn Ferry
Korn Ferry unleashes potential in people, teams, and organizations. We work with our clients to design optimal organization structures, roles, and responsibilities. We help them hire the right people and advise them on how to reward and motivate their workforce while developing professionals as they navigate and advance their careers. To learn more, please visit Korn Ferry at www.Kornferry.com
