At a Glance
- Tasks: Design and maintain data pipelines while ensuring data platform integrity.
- Company: Jefferson Frank is based in Greater London and focuses on Data Analytics.
- Benefits: Opportunities to expand technical skills in a dynamic context.
- Other info: This role is in a fast-paced, innovative environment.
- Why this job: Join a high-performing team tackling real-world data challenges.
- Qualifications: Strong experience with SQL, Python, and AWS is required.
The predicted salary is between 50000 - 65000 £ per year.
Jefferson Frank, based in Greater London, is seeking a Data Engineer to join their high-performing Data Analytics team. The role involves designing and maintaining data pipelines while ensuring data platform integrity. You will work in a fast-paced, innovative environment making a meaningful impact on real-world data challenges.
Candidates should possess strong experience with SQL, Python, and AWS, as well as a proven ability to deliver reliable data solutions. This position offers opportunities to expand technical skills in a dynamic context.
Data Engineer: Build Scalable Pipelines & Data Platforms employer: Jefferson Frank
Jefferson Frank, located in Greater London, offers a chance to work in a high-performing Data Analytics team. Employees benefit from opportunities to enhance their technical skills while addressing real-world data challenges in an innovative setting.
