London Hybrid Azure Data Architect - Snowflake & PySpark

London Hybrid Azure Data Architect - Snowflake & PySpark

Full-Time 70000 - 90000 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and optimise data migrations and platforms using PySpark, Snowflake, and Azure.
  • Company: Fractal, a leading data engineering hub in London.
  • Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Collaborative environment with exciting challenges and career advancement.
  • Why this job: Join a dynamic team and shape the future of data architecture in the insurance sector.
  • Qualifications: Strong experience in data engineering and leadership skills.

The predicted salary is between 70000 - 90000 £ per year.

Fractal in London operates as an onsite-hybrid data engineering hub, delivering scalable ETL/ELT pipelines and architecture for the Lloyd’s insurance landscape.

You will design data migrations, optimize data platforms, and integrate Py Spark, Snowflake, and Azure services across cross-functional teams.

The role requires strong data engineering and architecture experience, plus leadership skills to guide technical teams in a complex enterprise environment.

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London Hybrid Azure Data Architect - Snowflake & PySpark employer: Fractal

Fractal is an exceptional employer that values innovation and collaboration, offering a dynamic work culture where your expertise in CPG data strategy can truly shine. With a flexible hybrid work arrangement in Greater London, employees enjoy a healthy work-life balance while having access to continuous growth opportunities and the chance to engage with senior stakeholders on impactful projects. Join us to be part of a forward-thinking team that prioritises professional development and fosters a supportive environment for all.

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Contact Details:

Fractal Recruitment Team

We think you need these skills to ace London Hybrid Azure Data Architect - Snowflake & PySpark

Communication Skills
Problem-Solving Skills
SQL
Python
Data Engineering
Automation
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