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- Tasks: Build and maintain data processing pipelines in a dynamic 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: Collaborative culture with opportunities for professional development and community engagement.
- Why this job: Make a real impact on national security while advancing your career.
- Qualifications: Experience with Python, data processing, and cloud services is essential.
The predicted salary is between 60000 - 80000 £ per year.
Raytheon UK have a full time, perm opportunity for a Senior Data Engineer to join our specialist teams in Manchester, Gloucester or London working fully onsite.
As Senior Data Engineer, you'll be part of our experienced software dev function, working in a cross-functional Agile team. The Data Engineering role will be responsible for building and maintaining data processing pipelines and also the transformation and optimisation of data for analytical use.
We have opportunities for Data Engineers at every level within a team, so your Recruiter 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 currently hold eDV clearance.
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.
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 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
- 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 & Work Culture
Benefits:
- 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. 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.
Senior Data Engineer in Manchester employer: RTX
Contact Detail:
RTX Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with current employees at Raytheon UK. A friendly chat can sometimes lead to opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Prepare a portfolio or a GitHub repository showcasing your data engineering projects. This gives you a chance to demonstrate your expertise in Python, Apache Spark, and other tools directly to potential employers.
✨Tip Number 3
Ace the interview by practising common technical questions related to data pipelines and cloud services. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨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 on the lookout for passionate candidates ready to grow with us.
We think you need these skills to ace Senior Data Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior 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 impactful – we love a good story!
Showcase Your Projects: If you've worked on any cool projects, make sure to mention them! Whether it's a personal project or something from work, we want to see your hands-on experience with tools like Apache Spark or AWS.
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 RTX
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like Python, Apache Spark, and AWS. 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 complex data challenges. Think about how you’ve cleaned, transformed, or aggregated data in past projects. This will demonstrate your analytical skills and ability to work with unstructured datasets.
✨Collaborate and Communicate
Since the role involves working in a cross-functional Agile team, be ready to talk about your experience collaborating with stakeholders and other engineers. Highlight any successful projects where teamwork was key to achieving milestones.
✨Ask Insightful Questions
Prepare thoughtful questions about the team’s current projects, the technologies they use, and their approach to continuous improvement. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.