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Raytheon

Principal Data Engineer

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Description

Overview

In this Principal Data Engineer role, you will design and maintain data pipelines to enable analytical use across diverse data sources. You’ll join a cross-functional Agile software team within Raytheon UK’s Defence and Cyber business, shaping data-driven solutions for mission-critical challenges. You will optimize data processing and contribute to technical direction and continuous improvement. The role offers exposure to cutting-edge analytics in a high-security environment with a strong emphasis on collaboration and delivery.

Pay / Benefits
  • Competitive salary
  • Contributory Pension Scheme (up to 10.5% company contribution)
  • 25 days holiday + holidays
  • Discretionary company bonus
  • Flexible Benefits with salary sacrifice schemes
  • Enhanced sick pay
Responsibilities
  • Build data pipelines to clean, transform, and aggregate data from disparate sources
  • Collaborate with stakeholders and other engineers
  • Contribute to project milestones and team continuous improvement
  • Shape technical direction within the team
Key requirements
  • Experience in an Agile delivery team
  • Strong analytics with unstructured data
  • Python (PySpark, Pandas, PyArrow)
  • Distributed data processing (Apache Spark)
  • Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)
  • Cloud services (AWS, Azure or GCP)
  • Messaging/Streaming (Kafka, AWS SQS)
  • SQL and NoSQL
  • Storage (HDFS, Iceberg, Elastic, S3, Data Lake)
  • Containerisation and orchestration (Docker / Kubernetes / Openshift)
  • Testing frameworks and best practices
  • Code repositories and PR/merge processes
  • Collaborative
  • Detail-oriented
  • Problem-solving
  • Python (PySpark, Pandas, PyArrow)
  • Apache Spark
  • Apache Airflow

Skills

What Principal Data Engineering jobs ask for — and how much of it you have →
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See also

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