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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, professional development, and opportunities for hands-on experience.
- Other info: Collaborative environment with opportunities for growth and innovation.
- Why this job: Make a real impact by delivering trusted data solutions in a vital sector.
- Qualifications: Strong Python and SQL skills, with experience in building data pipelines.
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 Humber employer: Carbon60
Contact Detail:
Carbon60 Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Services Engineer in Humber
✨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 pipelines and problem-solving techniques. Practice common interview questions to boost your confidence!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Data Services Engineers like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Data Services Engineer in Humber
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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data services and how your skills can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled complex data issues in the past. We’re looking for those strong analytical 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 a few clicks and you’re done!
How to prepare for a job interview at Carbon60
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with building and maintaining data pipelines. Brush up on ETL/ELT processes and be ready to discuss specific projects where you've integrated data from various sources.
✨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 and be ready to explain your thought process.
✨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, as well as any tools or techniques you use to monitor and optimise data pipelines.
✨Be Ready for Problem-Solving Questions
Expect questions that assess your analytical and problem-solving skills. Think of examples where you've troubleshot complex data issues or optimised performance, and be ready to walk through your approach step-by-step.