Data Engineer: Pipelines, Spark & Cloud (On-site, UK) in Astley

Data Engineer: Pipelines, Spark & Cloud (On-site, UK) in Astley

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

  • Tasks: Build and maintain data pipelines while transforming data for analytics.
  • Company: Join Raytheon UK, a leader in tech innovation.
  • Benefits: Full-time, permanent role with competitive salary and career growth.
  • Other info: On-site positions available in Manchester, Gloucester, or London.
  • Why this job: Make an impact in a dynamic Agile team using cutting-edge technologies.
  • Qualifications: Experience with Python, Spark, ETL tools, and cloud technologies required.

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

Raytheon UK is seeking a Data Engineer for full-time, permanent work on-site at Manchester, Gloucester or London.

You will build and maintain data pipelines, transform data for analytics, and work with a cross-functional Agile team.

Applicants should have strong analytics for unstructured data, Python (Py Spark, Pandas, Py Arrow), Spark and ETL tooling, plus cloud and streaming experience.

Clearance (e DV) is required where applicable.

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Data Engineer: Pipelines, Spark & Cloud (On-site, UK) in Astley employer: RTX

At RTX, we pride ourselves on being an exceptional employer, offering a dynamic and inclusive work culture that fosters innovation and collaboration. As a Scrum Master in Manchester, you'll benefit from extensive professional development opportunities, a supportive environment that values flexibility and creativity, and the chance to contribute to meaningful projects that enhance global security. Join us to be part of a team that not only pushes the boundaries of technology but also prioritises your growth and well-being.

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Contact Details:

RTX Recruitment Team

We think you need these skills to ace Data Engineer: Pipelines, Spark & Cloud (On-site, UK) in Astley

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