At a Glance
- Tasks: Build reliable and secure data solutions for the Royal Navy's operational needs.
- Company: Join a dynamic team focused on innovative data engineering.
- Benefits: Enjoy competitive pay, flexible working, and opportunities for professional growth.
- Other info: Be part of a supportive environment with exciting career advancement potential.
- Why this job: Make a real difference in maritime operations with cutting-edge data technology.
- Qualifications: Experience in data engineering and a passion for problem-solving.
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.
Locations
Data Service Engineer in Hampshire, Portsmouth employer: Carbon60
Contact Detail:
Carbon60 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 folks in the industry, especially those already working in data services. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects related to data platforms and pipelines. This hands-on evidence of your capabilities can really set you apart during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your knowledge of data lifecycle processes. We recommend practising common interview questions and scenarios that focus on building reliable and scalable data solutions.
✨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 Service Engineer in Hampshire, Portsmouth
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 platforms and pipelines, and don’t forget to mention any hands-on engineering projects you've worked on that relate to building reliable and scalable data solutions.
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 align with our mission at StudySmarter. Be specific about your experience with operational and analytical services.
Showcase Relevant Skills: In your application, make sure to showcase your technical skills relevant to the role. Mention any tools or technologies you’ve used in the data lifecycle, from ingestion to processing, and how they can benefit our team.
Apply Through Our Website: We encourage you to apply through our website for a smoother application process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Carbon60
✨Know Your Data Lifecycle
Make sure you understand the full data lifecycle, from ingestion to processing and storage. Be ready to discuss your experience with each stage and how you've built reliable and scalable data solutions in the past.
✨Showcase Your Technical Skills
Prepare to demonstrate your technical expertise in data platforms and pipelines. Bring examples of projects where you've implemented secure data solutions, and be ready to explain the tools and technologies you used.
✨Understand the Royal Navy's Needs
Research the Royal Navy's Maritime Domain Awareness outputs and think about how your role as a Data Services Engineer can support these objectives. Tailor your answers to show how your skills align with their mission.
✨Ask Insightful Questions
Prepare thoughtful questions that show your interest in the role and the team. Inquire about the challenges they face in building data solutions and how you can contribute to overcoming them. This shows you're proactive and genuinely interested.