Data Engineer (12-Month FTC): Build Scalable Data Pipelines in Bury

Data Engineer (12-Month FTC): Build Scalable Data Pipelines in Bury

Bury Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
JDSPORTS

At a Glance

  • Tasks: Design and maintain scalable data pipelines for analytics-ready datasets.
  • Company: Join JDSPORTS, a leading sports retailer with a vibrant culture.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: 12-month maternity cover with potential for future opportunities.
  • Why this job: Make an impact by delivering reliable data solutions in a dynamic environment.
  • Qualifications: Strong SQL and Python skills, plus teamwork and collaboration experience.

The predicted salary is between 40000 - 50000 Β£ per year.

JDSPORTS is seeking a Data Engineer for a 12-month maternity cover, located at their Head Office in Bury, England. The role focuses on designing and maintaining high-quality data engineering solutions, delivering analytics-ready datasets, and supporting business analytics.

The ideal candidate should have strong experience with SQL and Python, and work collaboratively with data scientists and stakeholders to ensure data reliability and usability.

Data Engineer (12-Month FTC): Build Scalable Data Pipelines in Bury employer: JDSPORTS

JDSPORTS is an excellent employer that fosters a collaborative work culture, where innovation and teamwork are at the forefront of our operations. Located in Bury, England, we offer competitive benefits, opportunities for professional growth, and a supportive environment that encourages employees to develop their skills and advance their careers. Join us to be part of a dynamic team dedicated to delivering high-quality data solutions that drive business success.

JDSPORTS

Contact Details:

JDSPORTS Recruitment Team

We think you need these skills to ace Data Engineer (12-Month FTC): Build Scalable Data Pipelines in Bury

Python
SQL
Problem-Solving Skills
Communication Skills
Data Engineering
Data Pipeline Development
API Integration