Data Platform Lead: AI-Driven on Fabric, Hybrid

PHOENIX Medical Supplies Ltd.

Runcorn

Hybrid

GBP 90,000 - 120,000

Full time

6 days ago
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Benefits offered by this job

Competitive salary
Car allowance
Bonus
Private healthcare
Hybrid working
25 days annual leave

Job summary

PHOENIX Medical Supplies Ltd. is seeking a Data Platform Lead to own the technical evolution of the UK data platform. You will lead data engineering, governance and platform architecture, ensuring scalable, AI-ready data assets across the business.

The role focuses on modernising the data estate, leveraging Microsoft Fabric, and enabling analytics, AI and data products with a high-performing team in a hybrid work environment.

Qualifications

  • Proven experience leading data platform teams within large organisations.
  • Strong design, build and evolution of cloud-based data platforms.
  • Deep knowledge of Microsoft Fabric and related data ecosystem.
  • Experience with SQL, Python and PySpark for data engineering.
  • Understanding of data governance, security and quality principles.
  • Ability to translate business needs into practical technical solutions.

Responsibilities

  • Own the technical strategy and roadmap for the UK data platform.
  • Lead the ongoing development of the Microsoft Fabric platform for analytics and data products.
  • Develop a high-performing data engineering team and foster engineering excellence.
  • Define modern data architecture, patterns and standards for scalability and cost-efficiency.
  • Support AI and ML use cases with well-governed, accessible data assets.
  • Collaborate with analytics, BI and business stakeholders to enable trusted data foundations.

Skills

Data platform leadership
Microsoft Fabric
SQL
Python
PySpark
Git
CI/CD
Data governance

Tools

Git
CI/CD
Automated testing
Monitoring

Job description

PHOENIX Medical Supplies Ltd. is seeking a Data Platform Lead to own the technical evolution of the UK data platform. You will lead data engineering, governance and platform architecture, ensuring scalable, AI-ready data assets across the business.

The role focuses on modernising the data estate, leveraging Microsoft Fabric, and enabling analytics, AI and data products with a high-performing team in a hybrid work environment.

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