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- Tasks: Build and maintain scalable data pipelines for the Royal Navy's operational services.
- Company: Join a dynamic Capability Engineering team focused on data solutions.
- Benefits: Competitive salary, career growth, and hands-on experience in a secure environment.
- Other info: Collaborative culture with opportunities to work on innovative data projects.
- Why this job: Make a real impact by ensuring data is accessible and reliable for critical operations.
- Qualifications: Strong Python and SQL skills, with experience in data pipelines and problem-solving.
The predicted salary is between 40000 - 55000 £ per year.
We are seeking a Data Services Engineer to join a Capability Engineering team delivering data platforms and pipelines that underpin operational and analytical services supporting Royal Navy Maritime Domain Awareness outputs. This is a hands‑on engineering role focused on building reliable, scalable and secure data solutions. You will work across the full data lifecycle, from ingestion through to delivery, ensuring data is accessible, trusted and usable.
What You Will Do
- Build and maintain scalable data pipelines (ETL/ELT) across multiple systems.
- Integrate data from diverse sources including databases, APIs and enterprise systems.
- Ensure data quality, integrity and availability across platforms.
- Monitor and optimise data pipelines for performance and reliability.
- Troubleshoot and resolve complex data and platform issues.
- Contribute to automation and CI/CD of data services.
- Collaborate with stakeholders to understand and deliver data requirements.
- Producing technical documentation, runbooks and operational artefacts.
What We Are Looking For
Essential
- Experience building and maintaining data pipelines.
- Strong Python and SQL skills.
- Experience working with structured data and databases.
- Understanding of data modelling and transformation techniques.
- Experience with Linux environments.
- Strong problem‑solving and analytical skills.
- Ability to work independently within defined standards.
Desirable
- Experience with orchestration tools or data platforms.
- Exposure to DevOps practices and automation.
- Experience in secure or regulated environments.
- Familiarity with service management tools (e.g. Jira, Confluence).
Data Services Engineer in England employer: Carbon 60
Contact Detail:
Carbon 60 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Services Engineer in England
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups or webinars, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects. This is your chance to demonstrate your Python and SQL prowess, so make it shine when you get the opportunity to chat with hiring managers.
✨Tip Number 3
Prepare for those interviews! Brush up on your problem-solving skills and be ready to tackle real-world scenarios. Practise explaining your thought process clearly, as communication is key in collaborative environments.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our listings and jump on opportunities that match your skills and interests.
We think you need these skills to ace Data Services Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and your strong Python and SQL skills. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Data Services Engineer role and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Problem-Solving Skills: In your application, highlight specific examples where you've tackled complex data issues or optimised data pipelines. We’re looking for those strong problem-solving skills, so don’t hold back on sharing your successes!
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!
How to prepare for a job interview at Carbon 60
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with building and maintaining data pipelines. Be ready to discuss specific projects where you've used ETL/ELT processes, as well as the tools and technologies you employed.
✨Show Off Your Python and SQL Skills
Brush up on your Python and SQL knowledge before the interview. Prepare to answer technical questions or even solve coding challenges that demonstrate your proficiency in these languages, as they are crucial for the role.
✨Understand the Full Data Lifecycle
Familiarise yourself with the entire data lifecycle from ingestion to delivery. Be prepared to discuss how you ensure data quality, integrity, and availability, and share examples of how you've tackled issues in past roles.
✨Be Ready to Collaborate
Since collaboration is key in this role, think of examples where you've worked with stakeholders to understand their data requirements. Highlight your communication skills and how you’ve contributed to team success in previous projects.