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- Tasks: Build and maintain data processing pipelines for analytical use in a collaborative Agile team.
- Company: Join Raytheon UK, a leader in defence and aerospace technology.
- Benefits: Enjoy a competitive pension scheme, flexible working, and generous holiday allowance.
- Other info: Flexible culture with opportunities for professional growth and community involvement.
- Why this job: Make a real impact in national security while developing your skills in cutting-edge tech.
- Qualifications: Strong analytic skills and experience with Python, cloud services, and data processing.
The predicted salary is between 45000 - 60000 £ 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 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 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
- 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.
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.
Data Engineer employer: RTX
Contact Detail:
RTX 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 technical interviews by brushing up on your Python skills and data processing techniques. Practise coding challenges related to data pipelines and ETL processes to show off your expertise.
✨Tip Number 3
Show your passion for continuous improvement! Be ready to discuss how you've contributed to team projects in the past and how you can bring that mindset to Raytheon UK.
✨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 all about supporting your growth, so let us know what areas you want to develop in!
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your Application: Make sure to customise your CV and cover letter for 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!
Show Off Your Projects: If you've worked on any cool data projects, don’t hold back! Share specific examples of how you’ve built or optimised data processing pipelines. This gives us a glimpse into your hands-on experience and problem-solving skills.
Be Clear and Concise: When writing your application, keep it straightforward. Use bullet points where possible and avoid jargon unless it's relevant. We appreciate clarity and want to easily understand your qualifications and experiences.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at RTX
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python, Apache Spark, and cloud services. Brush up on your knowledge of data processing pipelines and ETL processes, as these will likely come up during the interview.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific examples where you've tackled challenges related to unstructured datasets or data transformation. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Understand Agile Methodologies
Since you'll be working in a cross-functional Agile team, it’s crucial to understand Agile principles. Be ready to discuss how you’ve collaborated with others in past projects and how you adapt to changing requirements.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, ongoing projects, and opportunities for professional development. This shows your genuine interest in the role and helps you assess if the company culture aligns with your values.