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- Tasks: Build and maintain data processing pipelines for analytical use.
- Company: Join Raytheon UK, a leader in defence and aerospace technology.
- Benefits: Enjoy a competitive pension scheme, flexible working, and generous holiday allowance.
- Why this job: Make a real impact in national security while developing your skills.
- Qualifications: Experience with Python, data processing, and cloud services is preferred.
- Other info: Collaborative culture with opportunities for professional growth and volunteering.
The predicted salary is between 45000 - 55000 £ per year.
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 Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team.
We have opportunities for Data Engineers at every level within a team, so upon reviewing your application we will discuss the great opportunities for development or challenges we offer based off your professional profile. Due to the interesting work we do and the sector this team is working in, we require all candidates to 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
- 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 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 CultureBenefits:- 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 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
- Early 1.30pm finish Friday, start your weekend early!
- 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.
In this area of Raytheon UK we provide DevSecOps at scale, Artificial Intelligence, Machine Learning, cyber and geospatial intelligence capabilities to support the defence, intelligence and cyber sectors. Collaborating with customers and suppliers to deliver secure, mission critical systems using the latest technologies and innovations.
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. Joining our team means being part of an organisation that shapes the future of national security whilst investing in your growth and personal development. We provide a collaborative environment, abundant opportunities for professional development, and a profound sense of purpose in what we do. Together, we are not just advancing technology; we're building a community committed to safeguarding a safer and more connected world.
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.
Data Engineer employer: Prattwhitney
Contact Detail:
Prattwhitney Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to current employees at Raytheon UK on LinkedIn or other platforms. Ask them about their experiences and any tips they might have for landing the Data Engineer role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills. Make sure you can talk confidently about Python, data pipelines, and cloud services. We want to see your passion for data engineering shine through!
✨Tip Number 3
Showcase your projects! If you've worked on any relevant data engineering projects, be ready to discuss them in detail. This is your chance to demonstrate your hands-on experience and problem-solving skills.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for talent that fits our culture and values.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, Python, and any relevant cloud services. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but engaging – we love a good story!
Show Off Your Projects: If you've worked on any cool projects related to data processing or analytics, make sure to mention them! We’re keen to see real examples of your work and how you’ve tackled challenges in the past.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Prattwhitney
✨Know Your Data Tools
Familiarise yourself with the specific tools mentioned in the job description, like Python, Apache Spark, and AWS. Be ready to discuss your experience with these technologies and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled challenges related to data processing or pipeline building. Use the STAR method (Situation, Task, Action, Result) to structure your responses and highlight your analytical skills.
✨Understand Agile Methodologies
Since you'll be working in a cross-functional Agile team, brush up on Agile principles and practices. Be prepared to discuss how you've collaborated with others in an Agile environment and contributed to continuous improvement.
✨Ask Insightful Questions
Prepare thoughtful questions about the team's projects, challenges, and the company's approach to data engineering. This shows your genuine interest in the role and helps you assess if it's the right fit for you.