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- Tasks: Design and build innovative data solutions for Defence and Public Sector clients.
- Company: Join a dynamic team focused on delivering impactful data-intensive solutions.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real difference by shaping the future of data solutions in critical sectors.
- Qualifications: Experience in data solutions and cloud environments; STEM degree preferred.
The predicted salary is between 75000 - 85000 £ per year.
We are looking for a talented Data Solution Engineer to join a growing team delivering data-intensive solutions for Defence and Public Sector clients. This is a hands-on, client-facing role focused on designing, building, and integrating resilient data pipelines and platforms that support real operational needs.
The successful candidate will work across the full delivery lifecycle, from early-stage requirements capture and solution design through to system integration, deployment, and operational support. You will also help shape future capability by identifying opportunities for innovation, supporting the use of COTS components, and contributing to the development of new IP.
Key Responsibilities- Design and deliver data solutions for Defence and Public Sector customers.
- Build robust data pipelines and platforms in cloud environments.
- Support requirements capture, technical discovery, and solution development.
- Create architectural views for data software and analytics solutions.
- Work with structured and unstructured data, selecting the right approach for each use case.
- Contribute to system integration, deployment, and capability operation.
- Support pre-sales activity where required, including customer engagement and solution shaping.
- Communicate technical solutions clearly to both technical and non-technical stakeholders.
- Work collaboratively within multi-disciplinary teams, driving technology choices and delivery outcomes.
- Experience designing, implementing, and integrating data solutions in a UK Defence or Public Sector context.
- Strong experience building data pipelines in cloud environments such as Azure, AWS, or GCP.
- Hands-on experience with data ingest, transformation, and persistence technologies.
- Good understanding of how resilient data pipelines are built and maintained.
- Familiarity with structured and unstructured data, including schemas, ontologies, taxonomies, and representation challenges.
- Experience using CI/CD practices and the quality controls that support reliable deployment.
- Experience working in Agile delivery environments.
- Degree in a STEM subject or equivalent experience.
- Knowledge of Defence data schemas and exchange specifications.
- Understanding of secure-by-design principles for data at rest and in transit.
- Knowledge of data transport in DDIL or constrained environments.
- Awareness of how data solutions support AI / ML use cases.
- Scrum Master or Product Owner experience.
- Understanding of commercial or contractual frameworks.
Data Solution Engineer in Romsey employer: IO Associates
Contact Detail:
IO Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Solution Engineer in Romsey
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, 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 solutions, pipelines, and any projects you've worked on. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering. Practice explaining your thought process clearly, especially when discussing complex topics like cloud environments and data integration.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are genuinely interested in joining our team. Plus, it gives you a better chance to stand out!
We think you need these skills to ace Data Solution Engineer in Romsey
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Solution Engineer role. Highlight your experience with data pipelines, cloud environments, and any relevant projects you've worked on. We want to see how your skills match what we're looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data solutions and how your background fits with our mission at StudySmarter. Keep it engaging and personal – we love to see your personality come through.
Showcase Relevant Experience: When detailing your experience, focus on specific projects or roles where you designed or integrated data solutions. Mention any work in Defence or Public Sector contexts, as this will resonate with us and show you understand our clients' needs.
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 gives you a chance to explore more about our team and culture!
How to prepare for a job interview at IO Associates
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data solutions, especially in the context of Defence and Public Sector. Be ready to discuss specific examples of data pipelines you've built or integrated, and how they addressed real operational needs.
✨Showcase Your Technical Skills
Prepare to demonstrate your hands-on experience with cloud environments like Azure, AWS, or GCP. Bring along any relevant projects or case studies that highlight your ability to work with both structured and unstructured data.
✨Communicate Clearly
Practice explaining complex technical concepts in simple terms. You’ll need to communicate effectively with both technical and non-technical stakeholders, so think about how you can make your explanations relatable and clear.
✨Emphasise Collaboration
Since this role involves working within multi-disciplinary teams, be prepared to discuss your experience in Agile environments. Share examples of how you've collaborated with others to drive technology choices and achieve delivery outcomes.