Data Engineer

RTX; Astley; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Contributory pension

Life assurance

Holiday entitlement

Discretionary bonus

Flexible benefits

Enhanced sick pay

Family-friendly policies

37‑hour week

Early finish Friday

Volunteer days

Flexible working

Job summary

Raytheon UK is seeking a Data Engineer for full-time, permanent work on-site at Manchester, Gloucester or London. You will build and maintain data pipelines, transform data for analytics, and work with a cross-functional Agile team.

Applicants should have strong analytics for unstructured data, Python (PySpark, Pandas, PyArrow), Spark and ETL tooling, plus cloud and streaming experience. Clearance (eDV) is required where applicable.

Qualifications

• Strong analytics skills for unstructured datasets.
• Proficiency in Python ecosystem including PySpark, Pandas and PyArrow.
• Experience with distributed data processing (Apache Spark).
• ETL design using Airflow, AWS Step Functions or NiFi.
• Knowledge of cloud services (AWS, Azure or GCP).
• Messaging/streaming systems (Kafka, AWS SQS, etc.).
• SQL and NoSQL databases/storage (HDFS, Iceberg, Elastic, S3).
• Containerisation/orchestration (Docker, Kubernetes, OpenShift).
• Testing frameworks and best practices.

Responsibilities

• Build data pipelines that clean, transform, and aggregate data from disparate sources.
• Collaborate with stakeholders and other engineers.
• Contribute to milestone completion on your project.
• Contribute to continuous improvement within the team.
• Collaborate on technical direction within the team.

Skills

Analytics

Python

Spark

ETL

Cloud platforms

Messaging/Streaming

SQL/NoSQL

Containerisation

Testing

Tools

PySpark

Pandas

PyArrow

Apache Spark

Airflow

AWS Step Functions

NiFi

AWS

Azure

GCP

Kafka

DynamoDB/S3

Docker

Kubernetes

OpenShift

Job description

Raytheon UK have a full‑time, permanent opportunity for a Data Engineer to join our team on our Manchester, Gloucester or London sites working onsite.

Our Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use. As a Data Engineer, you’ll work with an experienced software development team in a cross‑functional Agile environment.

Upon reviewing your application, we will discuss the development opportunities or challenges that are appropriate to your professional profile.

Due to the interesting work we do and the sector this team is working in, all candidates must hold current eDV clearance.

Responsibilities

• 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

Required Skills and Experience

• 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 databases and storage (HDFS, Iceberg, Elastic, S3, Data Lake)
• Containerisation and orchestration (Docker, Kubernetes, Openshift)
• Testing frameworks and best practices

We appreciate you may not be an expert in every area above - we can support you with training and development in some areas. Please do apply, and we will identify where we can best support your growth.

Benefits & Work Culture

• 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
• Company bonus scheme (discretionary)
• Flexible Benefits scheme with extensive salary sacrifice options, including Health Cashplan, Dental, and Cycle to Work
• Enhanced sick pay
• Enhanced family friendly policies including enhanced maternity, paternity & shared parental leave

• 37‑hour working week
• Early 1.30pm finish Friday, start your weekend early!
• Up to 5 paid days volunteering each year.
• Flexible working culture focused on output, with formal arrangements on request (assessed subject to role). 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.