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Principal Data Engineer

Pay
Pay not listed
Work setting
Not stated
Employment
Permanent · Full-time — employment source
Location: London Permanent Onsite
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full 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

From the employer’s posting
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

What you’ll bring

All qualifications

Core experience

  • Active eDV security clearance
  • Experience working in an Agile delivery team
  • Strong analytic skills with unstructured datasets
  • Python (PySpark, Pandas, PyArrow) and Apache Spark
  • Data ETL tools such as Apache Airflow, AWS Step Functions or Apache NiFi
Qualification wording
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)

Benefits in the posting

Full benefits wording
  • Contributory Pension Scheme (up to 10.5% company contribution)
  • 6 times salary ‘Life Assurance’ with pension
  • 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
  • 37hr working week, although hours may vary depending on role, job requirement or site-specific arrangements.
  • 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.
  • Privacy Policy and Terms:
  • Click on this link to read the Policy and Terms

From the employer’s posting.

About Globalhr

At Raytheon UK, we take immense pride in being a leader in defence and aerospace technology.

In the employer’s words · Read in context

Apply at Globalhr

Posting record

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Actively hiringFirst seen by us 1 day ago, still listed, and not a repost of an earlier posting.

Status in our records
Live
First seen by us
Nov 3, 20261 day ago
Recorded sightings
2
Last seen by us
Nov 4, 2026
Employer says posted
Sep 24, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

Day 1

Early. Similar jobs usually come down between day 5 and day 54.

From 10,736 similar postings that came down. Coming down is not always a hire.

Globalhr is hiring

65 open jobs

Open jobs by the week we first saw them, last 12 weeks.

Hiring record

See how this role fits your experience

Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.

  • Python
  • SQL
  • AWS
  • Azure
  • Docker
  • GCP
  • Iceberg
  • Kafka
  • Kubernetes
  • NoSQL
  • S3
  • Spark
  • Airflow
  • pandas
  • PySpark
Where the posting names them
- 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)

Your next step

Complete your application on globalhr.wd5.myworkdayjobs.com. The employer’s form will show what is required.

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Already applied? Track this application

About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

Date Posted:

2026-09-24



Country:

United Kingdom



Location:

London, London, City of



Position Role Type:

Onsite

Principal 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.


#LI-KP1

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

Source details

View original posting ↗

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Pay

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Location & working pattern

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.
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