Azure/Databricks Engineer-Southampton/Hybrid-Up to £37.24ph

Azure/Databricks Engineer-Southampton/Hybrid-Up to £37.24ph

Full-Time 37.24 - 37.24 £ / hour (est.) No working from home possible
Bond Williams Limited

At a Glance

  • Tasks: Create secure, scalable cloud solutions and build data pipelines using Azure and Databricks.
  • Company: Join a high-profile cloud and data delivery programme with a focus on innovation.
  • Benefits: Competitive pay of up to £37.24ph and hybrid working options.
  • Other info: Enjoy a dynamic work environment with opportunities for growth.
  • Why this job: Be part of an Agile team and make a real impact in cloud technology.
  • Qualifications: Experience with Azure Databricks, Scala, Spark, and DevSecOps is essential.

The predicted salary is between 37.24 - 37.24 £ per hour.

Azure / Databricks Engineer -Southampton/Hybrid-Up to £37.24 ph.

We're recruiting for an experienced Azure / Databricks Engineer to join a high-profile cloud and data delivery programme.

Key responsibilities: Develop secure, scalable cloud solutions using Azure and Databricks.

Build and maintain data pipelines and software components.

Develop Databricks modules using Scala and Spark.

Support Dev Sec Ops, automation and Infrastructure as Code.

Work collaboratively within Agile delivery teams.

Essential skills: Azure Databricks, Scala, and Spark Azure Dev Ops Azure Cloud Services (Entra ID, ADLS, ADF, Azure Batch) Infrastructure as Code (Bicep) Python, Power Shell, and Scala Dev Sec Ops and automated security management

Contract

Details: 6-month contract Hybrid working - Southampton office every Wednesday Bond Williams Professional Recruitment are an equal opportunity employer and operate as an Employment Business and Recruitment Agency TPBN1_UKTJ

Bond Williams Limited

Contact Details:

Bond Williams Limited Recruitment Team

We think you need these skills to ace Azure/Databricks Engineer-Southampton/Hybrid-Up to £37.24ph

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