At a Glance
- Tasks: Shape the UK's Defence data transformation by modernising enterprise data catalogue capabilities.
- Company: Join a leading organisation in Defence with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Work in a dynamic environment with a strong emphasis on collaboration.
- Why this job: Make a real impact on national security through data engineering.
- Qualifications: Experience in data engineering and familiarity with MOD programmes.
The predicted salary is between 50000 - 65000 £ per year.
Data Engineer Considering making an application for this job Check all the details in this job description, and then click on Apply.
Corsham/hybrid (1 - 2 days per week on site) £SC security clearance is required for this role
Help shape one of the UK's most important Defence data transformation programmes.
We're looking for an experienced Data Engineer to play a key role on a high-profile MOD programme focused on modernising enterprise data catalogue capabilities.
Contact Details:
CBSbutler Holdings Limited Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Senior Engineer, Data Engineering in Corsham
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We think you need these skills to ace Senior Engineer, Data Engineering in Corsham
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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How to prepare for a job interview at CBSbutler Holdings Limited
✨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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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.
