Data Engineer: Hybrid Pipelines & Governed Analytics

Data Engineer: Hybrid Pipelines & Governed Analytics

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

At a Glance

  • Tasks: Build data pipelines and support secure data solutions in a collaborative environment.
  • Company: Join the British Pregnancy Advisory Service, making a difference in healthcare.
  • Benefits: Enjoy flexible working days and a supportive work-life balance.
  • Other info: Permanent, full-time hybrid role with opportunities for professional growth.
  • Why this job: Contribute to impactful projects while developing your skills in a dynamic team.
  • Qualifications: Strong SQL, Azure, and Fabric skills required for data analysis and reporting.

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

British Pregnancy Advisory Service (BPAS) is seeking a Data Engineer to join their Business Intelligence team in a permanent, full-time, hybrid role. This position involves building data pipelines and supporting secure data solutions while collaborating with BI and Software Engineering teams.

The ideal candidate will possess strong SQL, Azure, and Fabric skills, ensuring the delivery of well-structured datasets for analysis and reporting. This role also supports work-life balance with flexible working days.

Data Engineer: Hybrid Pipelines & Governed Analytics employer: British Pregnancy Advisory Service (BPAS)

At the British Pregnancy Advisory Service (BPAS), we pride ourselves on being an excellent employer that values work-life balance and employee well-being. Our collaborative work culture fosters innovation and growth, providing ample opportunities for professional development in a supportive environment. Join us in making a meaningful impact while enjoying the flexibility of a hybrid role in a dedicated team focused on delivering high-quality data solutions.

B

Contact Details:

British Pregnancy Advisory Service (BPAS) Recruitment Team

We think you need these skills to ace Data Engineer: Hybrid Pipelines & Governed Analytics

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