Principal Data Engineer
At a glance
Senior Data Engineering role at RTX. London · full-time · no salary stated · we estimate £91,250–£103,563.
RTX has not published a salary for this role. The figure below is our estimate, not theirs.
dataroles summary, based on the employer's posting.
What you'll do
- Build pipelines that clean, reshape and combine data from different sources for analysis
- Work with stakeholders and fellow engineers as part of an Agile delivery team
- Help deliver project milestones and improve the team's ways of working
- Shape technical choices with your peers and optimise data for analytical use
What you bring
- You need active eDV clearance to be considered for this role
- You bring experience in an Agile delivery team and strong analytical skills with unstructured data
- You have relevant experience across the listed data engineering tools and practices, with training available in some areas
Who this fits
This is a permanent, onsite role in London for a principal-level data engineer. You'll work in a cross-functional Agile team; the listing describes an individual contributor role and requires active eDV clearance.
From the employer
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.
- Build data pipelines that clean, transform, and aggregate data from disparate sources
- Collaborate with stakeholders and other engineers
- Contribute to the completion of milestones associated with your project
- Contribute to continuous improvement within your team
- Collaborate with your peers on technical direction within your team
Requirements/knowledge (you don't need everything)
- Experience of working in an Agile delivery team
- Strong analytic skills related to working with unstructured datasets
- 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, 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
- Use of Code repositories, familiarity with branching strategies, pull requests and merge processes
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:
- £: Competitive salary
- Contributory Pension Scheme (up to 10.5% company contribution)
- 6 times salary ‘Life Assurance’ with pension
- 25 days holiday (increasing with service) + statutory public holidays, plus opportunity to buy and sell up to 5 days (37hr)
- Company bonus scheme (discretionary)
- Flexible Benefits scheme with extensive salary sacrifice schemes, including Health Cashplan, Dental, and Cycle to Work amongst others
- Enhanced sick pay
- Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave
Work Culture
- 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.
- 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.
- Flexible working culture focused on output, with more formal flexible working arrangements on request (assessed subject to role) - please highlight any requests to the Talent Acquisition team.
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.
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:
Click on this link to read the Policy and Terms
Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.
Each morning you get everything that fits, strongest first.
Data Engineering
Find me workBy the team behind dataroles.