Data Engineer
Posted 2 weeks ago by Korn Ferry
Negotiable
Undetermined
Undetermined
England, United Kingdom
Summary: Our client is seeking a Data Engineer for a 2-month contract, starting ASAP, with a preference for candidates experienced in financial services or building societies. The role involves designing and optimizing ETL workflows, data analysis, quality assurance, and enabling self-service reporting using Power BI. Collaboration with the Chief Data Scientist and continuous improvement of data workflows are also key aspects of the position.
Key Responsibilities:
- Design, build, and optimise ETL workflows to transfer data from Azure to AWS S3.
- Develop and maintain STATS files and data structures for financial, regulatory, and operational reports.
- Conduct thorough QA on all ETL processes and pipelines.
- Enable business users with Power BI self-service tools.
- Partner with the Chief Data Scientist and development team to translate data requirements into actionable solutions.
- Continuously identify and implement improvements to data workflows, reporting, and architecture.
Key Skills:
- Demonstrated expertise in designing, building, and optimising ETL pipelines.
- Practical experience working with Azure and AWS S3 environments.
- Advanced SQL skills for data extraction, transformation, and analysis.
- Proven ability to design data models and build interfaces for BI tools, focusing on Power BI.
- Strong problem-solving abilities with meticulous attention to detail and data accuracy.
- Ability to communicate complex technical concepts to both technical and non-technical stakeholders.
Salary (Rate): undetermined
City: undetermined
Country: United Kingdom
Working Arrangements: undetermined
IR35 Status: undetermined
Seniority Level: undetermined
Industry: IT
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.
- 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