At a Glance
- Tasks: Build data pipelines and collaborate with a dynamic Agile team.
- Company: Raytheon UK, a leader in innovative technology solutions.
- Benefits: Generous pension scheme, life assurance, flexible working, and 25 days holiday.
- Other info: Enjoy a flexible culture with opportunities for volunteering and career growth.
- Why this job: Join a cutting-edge team and make a real impact in data engineering.
- Qualifications: Strong analytical skills and proficiency in Python and data processing tools.
The predicted salary is between 60000 - 80000 £ per year.
Raytheon UK is looking for a full‑time, permanent Senior Data Engineer to join specialist teams in Manchester, Glasgow or London working fully onsite.
As a Senior Data Engineer, you will be part of our experienced software development function within a cross‑functional Agile team.
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 the project.
- Contribute to continuous improvement within the team.
- Collaborate with peers on technical direction within the team.
Qualifications
- Strong analytic skills related to working with unstructured datasets.
- Proficiency in Python (PySpark, Pandas, PyArrow).
- Experience with distributed data processing (Apache Spark).
- Experience with Data ETL (Apache Airflow, AWS Step Functions, Apache NiFi).
- Experience with cloud services (AWS, Azure or GCP).
- Experience with messaging/streaming (Kafka, AWS SQS, other cloud queuing native services).
- Experience with SQL and NoSQL storage (HDFS, Iceberg, Elastic, S3, Data Lake).
- Experience with containerisation and orchestration (Docker, Kubernetes, OpenShift).
- Experience with testing frameworks and best practices.
- Experience with code repositories and familiarity with branching strategies, pull requests, and merge processes.
We appreciate that you may not be an expert in every area above – training and development will be available.
Benefits & Work Culture
- Contributory pension scheme (up to 10.5% company contribution).
- Life Assurance (six‑times salary with pension).
- 25 days holiday (increasing with service) plus statutory public holidays, and the opportunity to buy and sell up to five 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, and shared parental leave.
- 37‑hour working week.
- Early 1.30pm finish on Friday.
- Up to five paid days volunteering each year.
- Flexible working culture focused on output – formal flexible arrangements on request.
Additional Information
- Location: Manchester, Lancashire. Must hold an eDV clearance.
Equal Employment Opportunity
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: Prattwhitney
Raytheon UK is an exceptional employer, offering a dynamic work environment in Manchester where innovation meets collaboration. With a strong focus on employee growth, we provide extensive training opportunities and a flexible working culture that prioritises output, alongside generous benefits such as a contributory pension scheme, enhanced family-friendly policies, and the chance to engage in community volunteering. Join us to be part of a forward-thinking team dedicated to making a meaningful impact in the tech industry.
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 your connections in the industry, attend meetups, and engage with professionals on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, Apache Spark, and cloud services. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and be ready to discuss your experience with ETL processes and distributed data processing.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications come directly from candidates who are genuinely interested in joining our team. Plus, it gives us a chance to see your enthusiasm right from the start!
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 reflects the skills and experiences that match the Senior Data Engineer role. Highlight your proficiency in Python, distributed data processing, and any relevant cloud services you've worked with.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our needs. Don't forget to mention your experience with data pipelines and collaboration within Agile teams!
Showcase Your Projects:If you've worked on any interesting projects involving ETL processes or cloud services, make sure to include them. We love seeing real-world applications of your skills, so share what you've built and the impact it had.
Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people!
How to prepare for a job interview at Prattwhitney
✨Know Your Tech Stack
Make sure you brush up on your skills with Python, Apache Spark, and the various cloud services mentioned in the job description. Be ready to discuss how you've used these technologies in past projects, as this will show your practical experience and understanding.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced when working with unstructured datasets or building data pipelines. Use the STAR method (Situation, Task, Action, Result) to structure your answers and highlight your analytical skills.
✨Collaborate and Communicate
Since the role involves working within a cross-functional Agile team, be prepared to discuss how you've collaborated with stakeholders and other engineers in the past. Share examples of how you contributed to team milestones and continuous improvement.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions that show your interest in the company and the role. Inquire about the team's current projects, their approach to continuous improvement, or how they handle technical direction. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.
