Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- 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, opportunities for clearance, and hands-on experience in a secure environment.
- Other info: Collaborative environment with opportunities for automation and career growth.
- Why this job: Make a real impact by ensuring data is accessible and reliable for critical operations.
- Qualifications: Experience with data pipelines, strong Python and SQL skills, and problem-solving abilities.
The predicted salary is between 40000 - 50000 £ 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.
The role will require an active SC clearance to start, with the requisite that you are able to obtain a DV clearance.
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.
- 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.
- 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).
Locations
Data Service Engineer in Hampshire, Portsmouth employer: Carbon60 Project Services
Contact Detail:
Carbon60 Project Services Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Service Engineer in Hampshire, Portsmouth
✨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 or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, projects, or any relevant work you've done. This gives you a chance to demonstrate your expertise in Python, SQL, and data modelling, making you stand out from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data services. Practice explaining your thought process when troubleshooting data issues or optimising pipelines. Confidence is key, so make sure you can articulate your problem-solving skills!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Plus, it’s a great way to ensure your application gets seen by the right people in our team.
We think you need these skills to ace Data Service Engineer in Hampshire, Portsmouth
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 passionate about data engineering 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, mention specific examples where you've tackled complex data issues or optimised data pipelines. We’re looking for those strong problem-solving skills, so let us know how you’ve used them in the past!
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 Carbon60 Project Services
✨Know Your Data Pipelines
Make sure you brush up on your experience with building and maintaining data pipelines. Be ready to discuss specific projects where you've integrated data from various sources, as this will show your hands-on expertise.
✨Show Off Your Coding Skills
Since strong Python and SQL skills are essential for this role, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks beforehand.
✨Understand the Full Data Lifecycle
Familiarise yourself with the entire data lifecycle, from ingestion to delivery. Be prepared to explain how you ensure data quality and integrity, as well as how you monitor and optimise data pipelines for performance.
✨Be Ready for Problem-Solving Questions
Expect questions that assess your problem-solving and analytical skills. Think of examples where you've troubleshot complex data issues or contributed to automation in your previous roles, as these experiences will highlight your capability.