Senior Data Engineer

Overview

In this role you will design and maintain data pipelines to enable analytics and transformation of disparate data sources within a cross-functional Agile team. You will collaborate with stakeholders, drive data-oriented milestones, and contribute to continuous improvement in a mission‑critical, cyber-focused environment. The position sits in Raytheon UK’s Software Engineering function, offering opportunities to shape data platforms for national security and defense solutions.

Pay / Benefits

• Competitive salary
• Contributory Pension Scheme
• Life Assurance with pension
• 25 days holiday + public holidays
• Discretionary bonus
• Flexible Benefits scheme including Health Cashplan, Dental, Cycle to Work

Responsibilities

• Build and maintain data pipelines to clean, transform, and aggregate data from diverse sources
• Collaborate with stakeholders and engineers to align on data requirements and solutions
• Contribute to project milestones and team continuous improvement
• Shape technical direction within the team and promote best practices in data engineering

Key requirements

• Experience in an Agile delivery team
• Strong analytics with unstructured data
• Python (PySpark, Pandas, PyArrow)
• Distributed data processing (Apache Spark)
• Data ETL tools (Apache Airflow, AWS Step Functions, Apache NiFi)
• Cloud services (AWS, Azure or GCP)
• Messaging/Streaming (Kafka, AWS SQS)
• SQL and NoSQL databases
• Storage (HDFS, Iceberg, Elastic, S3, Data Lake)
• Containerisation/orchestration (Docker, Kubernetes, Openshift)
• Testing frameworks and best practices
• Code repositories and CI/CD basics

• Collaboration
• Adaptability
• Problem solving
• Python (PySpark, Pandas, PyArrow)
• Apache Spark
• Apache Airflow

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