Data Engineer in Gloucester

Data Engineer in Gloucester

Gloucester Full-Time 63000 - 77000 £ / year (est.) No working from home possible
Raytheon

At a Glance

  • 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, flexible working, and 25+ days holiday.
  • Other info: Collaborative culture with opportunities for professional growth.
  • Why this job: Make an impact in national security while developing your skills.
  • Qualifications: Experience with Python, data processing, and cloud services preferred.

The predicted salary is between 63000 - 77000 £ 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

Required Skills and 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 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

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.

Data Engineer in Gloucester employer: Raytheon

Raytheon is an exceptional employer, offering a dynamic work environment in Glenrothes or Livingston, Scotland, where innovation meets purpose in the aerospace and defense sector. With competitive salaries, generous holiday allowances, and a strong focus on employee development through mentoring and leadership opportunities, we foster a culture of collaboration and excellence. Our commitment to work-life balance, flexible working arrangements, and enhanced family-friendly policies makes Raytheon a rewarding place to build a meaningful career.

Raytheon

Contact Details:

Raytheon Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Engineer in Gloucester

Get Involved in Data Science Meetups

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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Raytheon.

Apply Directly through Our Website

When you find a suitable opening like Data Engineer at Raytheon, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Engineer in Gloucester

SQL
Python
Communication Skills
Data Pipeline Development
Problem-Solving Skills
Data Engineering
Automation

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!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

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!

Showcase Your Projects

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.