Azure Data Engineer - Data Pipelines & Trusted Analytics

Azure Data Engineer - Data Pipelines & Trusted Analytics

Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and maintain Azure data pipelines for secure and scalable analytics.
  • Company: Join the National Institute of Teaching, a leader in educational data solutions.
  • Benefits: Enjoy a hybrid work setup, competitive salary, and opportunities for professional growth.
  • Other info: Be part of an agile team focused on innovation and collaboration.
  • Why this job: Make a real difference in education by working with cutting-edge data technologies.
  • Qualifications: Experience in data engineering and knowledge of Azure platforms required.

The predicted salary is between 50000 - 70000 Β£ per year.

National Institute of Teaching (NIo T) is seeking a Senior Data Engineer to design, build and maintain Azure-based data pipelines and databases supporting TED datasets.

The role focuses on secure data handling, validation, and scalable analytics-ready data solutions within a hybrid work setup.

Key duties include implementing a Common Data Model across education data providers, integrating data from MIS and Ed Tech platforms, and contributing to agile planning and documentation.

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Azure Data Engineer - Data Pipelines & Trusted Analytics employer: Point 13 Jobs

Welwyn Hatfield Borough Council is an excellent employer, offering a supportive work culture that values collaboration and community engagement. With competitive salaries and the flexibility of hybrid working, employees have the opportunity to grow professionally while making a meaningful impact in the local area. The council prioritises employee development, ensuring that team members can enhance their skills and advance their careers in a dynamic environment.

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Contact Details:

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We think you need these skills to ace Azure Data Engineer - Data Pipelines & Trusted Analytics

SQL
Python
Problem-Solving Skills
Communication Skills
Data Governance
Data Engineering
Data Pipeline Development