At a Glance
- Tasks: Build reliable data solutions and develop ETL/ELT pipelines for the Royal Navy.
- Company: Join Carbon60 Project Services, a leader in innovative engineering solutions.
- Benefits: Competitive salary, career development, and the chance to work on impactful projects.
- Other info: Dynamic team environment with opportunities for growth in secure settings.
- Why this job: Make a difference in maritime security while enhancing your technical skills.
- Qualifications: Experience in Python, SQL, and data pipelines; SC clearance required.
The predicted salary is between 45000 - 55000 £ per year.
Carbon60 Project Services is seeking a Data Services Engineer to join their Capability Engineering team in Portsmouth. The role involves building reliable, scalable data solutions to support Royal Navy Maritime Domain Awareness outputs.
This hands-on position requires experience in data pipelines and strong skills in Python and SQL. Candidates must be able to obtain active SC clearance and preferably have experience in secure environments and DevOps practices.
Secure Data Platform Engineer — ETL/ELT Pipelines in Portsmouth employer: Carbon60 Project Services
At Carbon60 Project Services, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters innovation and collaboration. Our Portsmouth location provides unique opportunities to work closely with the Royal Navy, contributing to meaningful projects that enhance maritime security. We are committed to employee growth, providing ongoing training and development in cutting-edge technologies, ensuring our team members thrive in their careers while making a significant impact in the field.
StudySmarter Expert Advice🤫
We think this is how you could land Secure Data Platform Engineer — ETL/ELT Pipelines in Portsmouth
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We think you need these skills to ace Secure Data Platform Engineer — ETL/ELT Pipelines in Portsmouth
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 Carbon60 Project Services
✨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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✨Get Comfortable with Python and R
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✨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.
