Senior Data Engineer
Summary
A Senior Data Engineer at Raytheon UK designs and maintains data pipelines that clean, transform, and aggregate disparate data sources for analytics in a mission-critical, cyber-focused national security and defense environment. The stack centers on Python (PySpark, Pandas), Apache Spark and Airflow, cloud platforms (AWS/Azure/GCP), Kafka, SQL/NoSQL stores, and Docker/Kubernetes.
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
- 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
- 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