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- Tasks: Build and maintain scalable data pipelines and ensure data quality across platforms.
- Company: Join a dynamic team supporting the Royal Navy's Maritime Domain Awareness.
- Benefits: Competitive salary, hands-on experience, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and problem-solving.
- Why this job: Make a real impact by delivering reliable data solutions in a vital sector.
- Qualifications: Experience with data pipelines, strong Python and SQL skills required.
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.
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 London employer: Carbon 60
Contact Detail:
Carbon 60 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Services Engineer in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups or webinars, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, projects, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with data modelling and transformation techniques, as well as how you've tackled complex data 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 seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Data Services Engineer in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Services Engineer role. Highlight your experience with data pipelines, Python, and SQL. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects or experiences that demonstrate your ability to build and maintain data solutions. We love seeing real-world examples of your work, so don’t hold back!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points where possible to make it easy for us to read through your qualifications and experiences.
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!
How to prepare for a job interview at Carbon 60
✨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 implemented ETL/ELT processes, as well as the tools and technologies you used. This will show that you understand the core responsibilities of the role.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or write a query on the spot, so practice common scenarios beforehand. Highlight any unique solutions you've developed using these languages.
✨Understand Data Quality and Integrity
Be prepared to talk about how you ensure data quality, integrity, and availability. Share examples of how you've monitored and optimised data pipelines in the past, and discuss any challenges you faced and how you overcame them.
✨Collaboration is Key
Since this role involves working with various stakeholders, think of examples where you've successfully collaborated with others to meet data requirements. Emphasise your communication skills and how you’ve contributed to team efforts in previous roles.