At a Glance
- Tasks: Build and optimise data pipelines for analytical use in a dynamic Agile team.
- Company: Raytheon UK, a leader in defence and aerospace technology.
- Benefits: Competitive salary, generous pension scheme, flexible working, and 25 days holiday.
- Other info: Flexible working culture with opportunities for training and career growth.
- Why this job: Join a mission-driven team solving critical challenges in national security.
- Qualifications: Experience with Python, data processing, and Agile methodologies preferred.
The predicted salary is between 63000 - 77000 £ per year.
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.
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!
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.
- 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.
All qualified applications will be given careful consideration without regard to ethnicity, colour, religion, gender, sexual orientation or identity, national origin, age, disability, protected veteran status or any other characteristic protected by law.
Principal Data Scientist & Principal Data Engineer in London employer: Raytheon
Raytheon UK is an exceptional employer, offering a dynamic and inclusive work environment in Glenrothes where employees can thrive and contribute to cutting-edge defence and aerospace technology. With a strong focus on professional development, competitive benefits including a generous pension scheme, and a culture that prioritises teamwork and innovation, we empower our Production Managers to lead impactful projects while enjoying a fulfilling work-life balance. Join us to be part of a community dedicated to shaping the future of national security and fostering personal growth.
StudySmarter Expert Advice🤫
We think this is how you could land Principal Data Scientist & Principal Data Engineer in London
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We think you need these skills to ace Principal Data Scientist & Principal Data Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Raytheon, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Raytheon. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Raytheon
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Raytheon!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
