Lead Data Platform Specialist Remote £85k + bonus

Anywhere
Fully Remote
Posted 1 week ago

About this role

Lead Data Platform Specialist - Up to 85k + c.15% Bonus

Fully Remote - Condensed & flexible hours available (4 day working week available)

My client, a nation-wide organisation with a reputation for excellence and a supportive, inclusive culture, is seeking a Lead Data Platform Engineer to join their Data Engineering and Machine Learning team. This is a high-impact, senior role, ideal for someone with deep experience in modern cloud data platforms, looking to shape and deliver a scalable, secure, and innovative data platform.

You need to have strong experience working with Databricks

You'll play a pivotal role in designing, building, and optimising their Azure-based Data Lakehouse, with a focus on Databricks, PySpark, Spark SQL, and Azure Data Factory. This isn't just about coding - you'll also provide architectural guidance, mentor engineers, and ensure solutions are scalable, secure, and aligned with business needs. Hands-on experience with CI/CD, automation, and infrastructure-as-code (Terraform, ARM templates) is essential. Experience in machine learning platforms or ML engineering is a bonus.

Key Responsibilities:

  • Build and maintain the Data Lakehouse platform in a secure Azure environment
  • Develop automation for cluster management, integration runtimes, and networking
  • Lead architectural design and ensure platform scalability, reliability, and governance
  • Write efficient, maintainable code in PySpark, Python, and SQL
  • Implement CI/CD pipelines and cloud infrastructure via Terraform/ARM
  • Collaborate with data engineers, architects, and business stakeholders
  • Mentor and coach engineers, fostering a culture of learning and excellence

Essential Skills:

  • Deep experience in Databricks, Azure Data Factory, and Lakehouse architecture
  • Stro…

Salary Range

85,000 - 85,000 GBP annually

Benefits & Perks

Annual bonus
Remote-friendly
Flexible hours
Health insurance
Paid time off

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