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London, London
Actively hiring, first seen by us 1 day agoLocation: London Permanent Onsite
Employment type in the employer’s posting: Full timeFrom the employer’s posting
Build data pipelines that clean, transform and aggregate data from disparate sources
Transform and optimise data for analytical use
Contribute to milestones on your project and continuous improvement in your team
Collaborate with stakeholders and other engineers
Set technical direction with peers within your team
Build data pipelines that clean, transform, and aggregate data from disparate sources
the transformation and optimisation of data for analytical use
Contribute to the completion of milestones associated with your project
Collaborate with stakeholders and other engineers
Collaborate with your peers on technical direction within your team
we require all candidates to hold an active eDV clearance for this role
Experience of working in an Agile delivery team
Strong analytic skills related to working with unstructured datasets
Python (PySpark, Pandas, PyArrow)
Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)
From the employer’s posting.
At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology.
In the employer’s words · Read in context
Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
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- Strong analytic skills related to working with unstructured datasets - Python (PySpark, Pandas, PyArrow) - Distributed data processing (Apache Spark)
- Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) - SQL and NoSQL - Storage (HDFS, Iceberg, Elastic, S3, Data Lake)
- Distributed data processing (Apache Spark) - Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) - Cloud services (AWS, Azure or GCP)
- Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi) - Cloud services (AWS, Azure or GCP) - Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services)
- Cloud services (AWS, Azure or GCP) - Messaging / Streaming (Kafka, AWS SQS, Other Cloud Queuing Native services) - SQL and NoSQL
- Storage (HDFS, Iceberg, Elastic, S3, Data Lake) - Containerisation and orchestration (Docker / Kubernetes / Openshift) - Testing frameworks and best practices
- SQL and NoSQL - Storage (HDFS, Iceberg, Elastic, S3, Data Lake) - Containerisation and orchestration (Docker / Kubernetes / Openshift)
- Python (PySpark, Pandas, PyArrow) - Distributed data processing (Apache Spark) - Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi)
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We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
Date Posted:
2026-09-24

Country:
United Kingdom

Location:
London, London, City of

Position Role Type:
OnsitePrincipal Data Engineer
Location: London
Permanent
Onsite
Due to the interesting work we do and the sector this team is working in, we require all candidates to hold an active eDV clearance for this role.
About us
At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology. As an employer, we are dedicated to fuelling innovation, nurturing talent, and fostering a culture of excellence.
As a leading defence and aerospace company operating across the United Kingdom, Raytheon UK helps to solve our customers’ toughest challenges. We are a major supplier to the UK government and customers around the globe, providing defence solutions across all domains: land, sea, air, space, and cyberspace. We also provide digital and training transformation solutions to commercial and military customers.
With circa 2000 employees and major facilities operating throughout the UK including Broughton (Wales), Livingston and Glenrothes (Scotland), and Harlow, Gloucester, and Manchester (England); we are committed to investing in British careers and technology development.
Cyber
Our National Security Cyber business delivers mission-critical solutions that safeguard our national security 24 hours a day, seven days a week. Working in a mature, agile environment, our SCRUM teams work synchronously with our customers to solve some of the toughest digital challenges faced in the world today.
Role & Responsibilities
You'll be part of our experienced Software Engineering function, working in a cross-functional Agile team. The Principal Data Engineer role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use.
Requirements/knowledge (you don't need everything)
We appreciate you may not be an expert in every area above - we can support with training and development in some areas! Please do make an application and we will identify where we can best support your growth specific to your application.
Benefits:
Work Culture
RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
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RTX adheres to the principles of equal employment. All qualified applications will be given careful consideration without regard to ethnicity, color, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Privacy Policy and Terms:
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London, London
- Early 1.30pm finish Friday, start your weekend early! - Remote, hybrid and site based working opportunities, dependant on your needs and the requirements of the role. - Up to 5 paid days volunteering each year.
No clear work-authorization passage found. Eligibility is unconfirmed.