At a Glance
- Tasks: Design and integrate cutting-edge data solutions in a dynamic engineering environment.
- Company: Join a leading tech organisation focused on secure national security projects.
- Benefits: Competitive salary, bonus, hybrid work, and opportunities for innovation.
- Other info: Engage in a high-growth environment with significant investment in your professional development.
- Why this job: Make a real impact on complex technical problems with national significance.
- Qualifications: Experience in cloud engineering and data management, with strong communication skills.
The predicted salary is between 80000 - 80000 £ per year.
Salary: £80,000 - £80,000 per year
Requirements
- Strong experience designing and integrating data solutions.
- Hands-on cloud engineering capability across AWS, Azure, or GCP.
- Experience with data ingest, transformation, and persistence.
- CI/CD and Agile delivery experience.
- Strong understanding of structured and unstructured data, including schemas, ontologies, taxonomies, and translation/representation issues.
- Background in Defence, Public Sector, or secure environments is preferred.
- Curious, hands-on mindset with strong stakeholder communication skills.
- Willingness and eligibility to go through SC and DV clearance.
Responsibilities
- Design modern data architectures and platforms.
- Build resilient cloud data pipelines across AWS, Azure, or GCP.
- Work with structured and unstructured datasets at scale.
- Drive technical decisions within multidisciplinary engineering teams.
- Support early-stage concept work through to enterprise-scale delivery.
- Engage with stakeholders to shape future technical solutions.
- Architect and deliver scalable cloud-based data platforms.
- Engineer robust pipelines for complex data environments.
- Help shape advanced analytics capability in Data, AI, and Analytics.
Technologies
- AI
- AWS
- Architect
- Azure
- CI/CD
- Cloud
- GCP
- Support
- Security
We are a cutting-edge technology organisation delivering complex, secure data solutions across high-profile national security and defence programmes. This is a Data Solution Engineer role based in Romsey with a hybrid working pattern of 2 days onsite. We offer a salary of £70,000 to £80,000 plus a 6% bonus. You will join a high-growth engineering environment with serious investment in innovation, working on genuinely complex technical problems and highly secure projects with real national impact. This is an opportunity to influence technology choices, contribute across the full delivery lifecycle, and help develop advanced capability in Data, AI, and Analytics.
Data Solution Engineer in London employer: Sivara GmbH
As a leading technology organisation in Romsey, we pride ourselves on fostering a dynamic and innovative work culture that empowers our Data Solution Engineers to tackle complex challenges in national security and defence. With a strong emphasis on employee growth, we offer extensive training opportunities, a competitive salary package, and the chance to work on impactful projects that shape the future of data solutions. Our hybrid working model ensures a healthy work-life balance while collaborating with multidisciplinary teams dedicated to excellence.
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We think this is how you could land Data Solution Engineer in London
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Sivara GmbH.
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We think you need these skills to ace Data Solution Engineer in London
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Sivara GmbH
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
