Data Platform Lead β€” GCP & BigQuery Architect

Data Platform Lead β€” GCP & BigQuery Architect

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Lead the design and delivery of scalable data platforms and pipelines.
  • Company: Join Gymshark, a dynamic brand at the forefront of fitness innovation.
  • Benefits: Enjoy competitive pay, flexible working, and opportunities for growth.
  • Other info: Be part of a collaborative team that values creativity and excellence.
  • Why this job: Shape the future of data-driven decisions in a thriving company.
  • Qualifications: Experience in data engineering and a passion for leadership.

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

Gymshark is seeking a Lead Data Engineer to provide technical leadership within the data engineering team, setting the standard for engineering excellence while remaining deeply hands-on. You will drive the design and delivery of scalable, resilient data platforms and pipelines that underpin Gymshark's ambition to be a truly data driven business.

Sitting at the intersection of craft and collaboration, this role shapes technical direction, raises the capability of those around them.

Data Platform Lead β€” GCP & BigQuery Architect employer: The Inside Job

Gymshark is an exceptional employer that fosters a dynamic and innovative work culture, particularly for the Digital Product Manager role. With a strong emphasis on employee growth and collaboration, team members are encouraged to take ownership of their projects while working alongside talented engineers and designers in a fast-paced environment. Located in a vibrant community, Gymshark offers unique opportunities to engage with a passionate customer base, making it a rewarding place to contribute to meaningful customer experiences.

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Contact Details:

The Inside Job Recruitment Team

We think you need these skills to ace Data Platform Lead β€” GCP & BigQuery Architect

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