Azure Data Platform Engineer

Azure Data Platform Engineer

Full-Time 46800 - 65000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and maintain scalable data pipelines using Azure technologies.
  • Company: Join the UK National Audit Office, a leader in data solutions.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and impact.
  • Why this job: Be a key player in shaping data solutions that make a difference.
  • Qualifications: Experience with Azure Data Factory, Databricks, and data modelling.

The predicted salary is between 46800 - 65000 Β£ per year.

The UK National Audit Office is seeking a Data Engineer to design and maintain scalable data pipelines. This role requires strong expertise in Azure and data modelling to ensure effective data integration and quality.

With responsibilities ranging from building data infrastructure to collaborating across teams, you will be critical to the NAO's data solutions. You should have hands-on experience in cloud-based environments, particularly with Azure Data Factory and Databricks.

Azure Data Platform Engineer employer: UK National Audit Office

Join a dynamic and supportive team at the heart of Parliament, where your creativity as a Creative Artworker & Typesetter will directly contribute to enhancing public services. With a strong emphasis on collaboration, attention to detail, and continuous improvement, you'll have the opportunity to grow your skills in a fast-paced environment while enjoying the benefits of a hybrid working policy in vibrant London. This role not only offers meaningful work but also a chance to be part of a team that takes pride in delivering high-quality outputs that shape understanding across Government and the public.

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Contact Details:

UK National Audit Office Recruitment Team

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

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