At a Glance
- Tasks: Design and build secure data platforms using Azure and Databricks for defence clients.
- Company: Capgemini, a leading tech consultancy with a focus on innovation.
- Benefits: Hybrid working, competitive salary, and opportunities for professional growth.
- Other info: Flexible work environment with a blend of office, client site, and remote work.
- Why this job: Join a dynamic team and make a difference in the defence sector with cutting-edge technology.
- Qualifications: Experience in data engineering and eligibility for SC clearance required.
The predicted salary is between 60000 - 80000 £ per year.
Capgemini in the UK offers a senior Solution Architect role focused on Azure and Databricks to design, build and secure data platforms for defence clients.
You will deploy data warehouses and ML-ready pipelines, while ensuring reliability, governance and secure patterns across containerised environments.
The role blends software and data engineering, requires SC clearance eligibility, and a hybrid working pattern across offices, client sites and home.
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Secure Data Engineer: Azure & Databricks Platform Architect employer: Ontologize LLC
At Ontologize LLC, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. Our commitment to employee growth is evident through continuous learning opportunities and the flexibility of hybrid work arrangements across the UK, allowing you to balance your professional and personal life while contributing to cutting-edge data solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Secure Data Engineer: Azure & Databricks Platform Architect
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We think you need these skills to ace Secure Data Engineer: Azure & Databricks Platform Architect
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 Ontologize LLC
✨Brush Up on Your Statistics
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
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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.
