Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable data pipelines and ensure data quality for the Royal Navy.
- Company: Join Carbon 60, a leader in data services for maritime awareness.
- Benefits: Competitive salary, flexible working hours, and opportunities for skill development.
- Other info: Be part of a dynamic team focused on operational efficiency.
- Why this job: Make a real impact on national security through innovative data solutions.
- Qualifications: Strong Python and SQL skills with experience in data pipeline development.
The predicted salary is between 45000 - 55000 £ per year.
Carbon 60 is seeking a Data Services Engineer to join a Capability Engineering team in the United Kingdom, focused on delivering data platforms that support Royal Navy Maritime Domain Awareness. This hands-on role involves building scalable data pipelines, ensuring data quality, monitoring performance, and resolving issues.
Candidates must possess strong Python and SQL skills, along with experience in data pipeline development and a solid understanding of data modelling techniques. This position is vital for maintaining operational efficiency.
Data Platform Engineer (Pipelines & ETL) employer: Carbon 60
Contact Detail:
Carbon 60 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform Engineer (Pipelines & ETL)
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with data platforms. A friendly chat can lead to insider info about job openings or even a referral.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your Python and SQL projects. This is your chance to demonstrate your expertise in building scalable data pipelines and data modelling techniques.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions. We recommend practising your problem-solving skills and being ready to discuss how you've tackled performance issues in the past.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Platform Engineer (Pipelines & ETL)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your Python and SQL skills, as well as your experience with data pipelines. We want to see how your background aligns with the role of a Data Services Engineer, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data platforms and how your skills can contribute to our Capability Engineering team. Keep it engaging and personal – we love to see your personality!
Showcase Problem-Solving Skills: In your application, highlight specific examples where you've resolved issues in data pipeline development or improved data quality. We’re looking for candidates who can think on their feet and tackle challenges head-on!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy – just follow the prompts and you’ll be set!
How to prepare for a job interview at Carbon 60
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss your experience with data pipeline development and any specific projects you've worked on. The more you can demonstrate your technical expertise, the better!
✨Showcase Your Problem-Solving Skills
Since this role involves resolving issues and ensuring data quality, prepare examples of challenges you've faced in previous roles. Talk about how you approached these problems and what solutions you implemented. This will show your potential employer that you're proactive and resourceful.
✨Understand Data Modelling Techniques
Familiarise yourself with various data modelling techniques relevant to the role. Be prepared to discuss how you've applied these techniques in past projects. This knowledge will highlight your capability to contribute effectively to the team.
✨Ask Insightful Questions
Prepare some thoughtful questions about the team's current projects or the technologies they use. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you. Remember, interviews are a two-way street!