SC Cleared Data Engineer - Hybrid, Cloud Pipelines in Reading

SC Cleared Data Engineer - Hybrid, Cloud Pipelines in Reading

Reading Full-Time 54000 - 66000 Β£ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design and build secure, scalable data pipelines in a dynamic Agile team.
  • Company: Pearson Carter, a leader in innovative tech solutions.
  • Benefits: Hybrid work model, competitive pay, and opportunities for professional growth.
  • Other info: Exciting role with a focus on security and governance standards.
  • Why this job: Join a cutting-edge team and make an impact with cloud technologies.
  • Qualifications: 4 years in data engineering, strong SQL and Python skills required.

The predicted salary is between 54000 - 66000 Β£ per year.

Pearson Carter is seeking a Data Engineer for a hybrid contract role based in Reading with 3 days on-site. You will design, build, and maintain secure, scalable data pipelines and platforms, working within an Agile team to deliver robust data engineering solutions using cloud technologies while complying with security and governance standards.

The ideal candidate has around 4 years in data engineering or related tech, strong SQL and Python skills, and solid understanding of data lifecycle.

SC Cleared Data Engineer - Hybrid, Cloud Pipelines in Reading employer: Pearson Carter

At Pearson Carter, we pride ourselves on being an excellent employer by fostering a collaborative and supportive work culture that values employee growth and development. Our Skegness location offers unique advantages, including a close-knit community and the opportunity to work directly with clients, ensuring that your contributions have a meaningful impact. Join us to be part of a team that is dedicated to maximizing ERP investments while providing you with the resources and training needed to excel in your career.

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Contact Details:

Pearson Carter Recruitment Team

We think you need these skills to ace SC Cleared Data Engineer - Hybrid, Cloud Pipelines in Reading

Data Engineering
Cloud Technologies
SQL
Python
Agile Methodologies
Data Pipeline Design
Data Lifecycle Management