Principal Data Platform Engineer β€” Hybrid, AWS & Data Lakes

Principal Data Platform Engineer β€” Hybrid, AWS & Data Lakes

Full-Time 63000 - 77000 Β£ / year (est.) Home office (partial)
B

At a Glance

  • Tasks: Lead the evolution of data platforms and mentor a high-performing team.
  • Company: Join the BBC, a renowned organisation with a commitment to innovation.
  • Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Work in a dynamic environment with a focus on security and reliability.
  • Why this job: Shape the future of data services and analytics at a leading media company.
  • Qualifications: Experience in AWS, data lakes, and strong leadership skills.

The predicted salary is between 63000 - 77000 Β£ per year.

The BBC is seeking a Principal Software Engineer for hybrid positions across London, Salford and Glasgow.

You will lead the evolution of data lake and data warehouse platforms, enabling scalable, cost-efficient data services and robust analytics capabilities.

You will define long-term technical vision, drive Ia C (AWS CDK/Cloud Formation) and CI/CD (Git Hub Actions, Jenkins), and mentor a high-performing team while upholding security and reliability across the stack.

#J-18808-Ljbffr

Principal Data Platform Engineer β€” Hybrid, AWS & Data Lakes employer: BBC UK

At BBC Studios, we pride ourselves on being an exceptional employer, offering a collaborative and inclusive work culture that empowers our employees to thrive. Located in the vibrant heart of Cardiff, our finance team provides ample opportunities for professional growth, with a flexible working environment, generous annual leave, and a commitment to sustainability. Join us to make a meaningful impact while enjoying a supportive atmosphere that values diversity and innovation.

B

Contact Details:

BBC UK Recruitment Team

We think you need these skills to ace Principal Data Platform Engineer β€” Hybrid, AWS & Data Lakes

SQL
Communication Skills
Problem-Solving Skills
Python
Data Pipeline Development
Data Engineering
ETL/ELT Processes