Azure Databricks Data Platform Engineer

Azure Databricks Data Platform Engineer

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build scalable data pipelines on Azure Databricks for analytics and AI.
  • Company: Somerset Bridge Group, leading the way in modernising data platforms.
  • Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
  • Other info: Flexible work environment with a focus on governance and security.
  • Why this job: Join a dynamic team and make an impact on innovative data initiatives.
  • Qualifications: Strong SQL and PySpark skills, plus experience with cloud-native data platforms.

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

Somerset Bridge Group is modernising its data platform to enable analytics, reporting, and AI initiatives across Pricing, Underwriting and Claims.

You will design and build scalable data pipelines on Azure Databricks and Delta Lake, with governance, security, and real-time processing at scale.

The role sits in the Enterprise Data Team and requires strong SQL and Py Spark, plus experience with cloud-native data platforms.

Hybrid working available, with 2 days in the office and 3 days from home.

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Azure Databricks Data Platform Engineer employer: Somerset Bridge Group

Join a forward-thinking recruitment firm in Bristol that values flexibility and employee well-being. With a strong emphasis on professional development, this role not only allows you to manage the hiring process but also offers the chance to mentor junior staff in a supportive work culture. Enjoy generous leave, a pension scheme, and a discretionary bonus, making it an excellent opportunity for those seeking meaningful and rewarding employment.

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Contact Details:

Somerset Bridge Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Azure Databricks Data Platform Engineer

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We think you need these skills to ace Azure Databricks Data Platform Engineer

Communication Skills
Python
SQL
Data Engineering
Data Warehousing
Data Quality Assurance
ETL/ELT Processes

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

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