At a Glance
- Tasks: Design and maintain data pipelines for a central data platform.
- Company: Join Jefferson Frank's high-performing Data Analytics team in Leeds.
- Benefits: Exposure to impactful projects and opportunities for professional growth.
- Other info: Ideal candidates will ensure the reliability of critical business processes.
- Why this job: Work collaboratively in a fast-paced environment with strong data solutions.
- Qualifications: Proficiency in SQL and Python with experience in scalable data solutions.
The predicted salary is between 45000 - 55000 £ per year.
Jefferson Frank is seeking a talented Data Engineer to join their high-performing Data Analytics team in Leeds. You will design and maintain data pipelines while ensuring the reliability of a central data platform that supports critical business processes.
Ideal candidates will have strong experience in creating scalable data solutions, proficiency in SQL and Python, and the ability to work collaboratively in a fast-paced environment. This role promises exposure to impactful projects and opportunities for professional growth.
Data Engineer — Build Scalable Pipelines (AWS/Databricks) in Leeds employer: Jefferson Frank
Jefferson Frank offers a dynamic work environment in Leeds, focusing on innovative data solutions. The Data Analytics team is known for its high performance and commitment to professional development, providing employees with opportunities to work on impactful projects.
