Azure Fabric Data Lakehouse Engineer (SC Cleared)

Azure Fabric Data Lakehouse Engineer (SC Cleared)

Full-Time 40000 - 50000 Β£ / year (est.) No working from home possible
Cognizant

At a Glance

  • Tasks: Design and build cloud-native data solutions using Microsoft Azure Fabric.
  • Company: Cognizant, a leader in tech innovation within the public sector.
  • Benefits: Competitive salary, health benefits, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on enhancing internal capabilities.
  • Why this job: Join a major data transformation project and make a real difference.
  • Qualifications: Strong background in Azure services and data engineering principles.

The predicted salary is between 40000 - 50000 Β£ per year.

Cognizant is looking for a Data Engineer to join their team in the UK, focusing on a major data transformation project within the public sector. The role involves designing and building cloud-native data solutions using Microsoft Azure Fabric and related technologies.

Key responsibilities include:

  • Developing data pipelines
  • Maintaining data quality
  • Collaborating with various teams to enhance internal capabilities

A strong background in Azure services and data engineering principles is essential for success in this pivotal position.

Azure Fabric Data Lakehouse Engineer (SC Cleared) employer: Cognizant

Cognizant is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within the public sector. Employees benefit from comprehensive professional development opportunities, competitive remuneration, and a commitment to work-life balance, all while contributing to impactful data transformation projects in the UK. Join us to be part of a forward-thinking team that values your expertise and encourages growth in a supportive environment.

Cognizant

Contact Details:

Cognizant Recruitment Team

We think you need these skills to ace Azure Fabric Data Lakehouse Engineer (SC Cleared)

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