Data Engineer β€” Build Life-Saving Data Pipelines (Hybrid)

Data Engineer β€” Build Life-Saving Data Pipelines (Hybrid)

Full-Time 50000 - 50000 Β£ / year (est.) No working from home possible
Networking Women in the Fire Service

At a Glance

  • Tasks: Design and build scalable data pipelines to support frontline operations.
  • Company: Join West Yorkshire Fire & Rescue Service, a blue-light organisation focused on innovation.
  • Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with a strong focus on data governance and security.
  • Why this job: Make a real difference by powering life-saving operations with data.
  • Qualifications: Experience in data engineering and knowledge of Microsoft Fabric and Azure.

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

West Yorkshire Fire & Rescue Service is seeking a Data Engineer to design and build scalable data pipelines and models that power frontline operations and strategic planning. You will work with Microsoft Fabric and Azure to support Power BI and ensure data is clean, connected and ready for insights.

You will collaborate with analysts and data quality experts, advocate data governance and security, and contribute to a blue-light organisation that values innovation and teamwork.

Data Engineer β€” Build Life-Saving Data Pipelines (Hybrid) employer: Networking Women in the Fire Service

Networking Women in the Fire Service is an exceptional employer dedicated to enhancing community safety and wellbeing across the UK. With a strong focus on employee growth, we offer flexible home-based work arrangements and opportunities for impactful collaboration within a supportive and inclusive culture. Join us to make a meaningful difference while enjoying competitive benefits and a commitment to your professional development.

Networking Women in the Fire Service

Contact Details:

Networking Women in the Fire Service Recruitment Team

We think you need these skills to ace Data Engineer β€” Build Life-Saving Data Pipelines (Hybrid)

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