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- Tasks: Design and optimise scalable data systems for national security.
- Company: Join a leading firm at the forefront of defence and big data innovation.
- Benefits: Enjoy a competitive salary, relocation assistance, and access to cutting-edge tools.
- Why this job: Make a real impact on national security while working in a supportive team environment.
- Qualifications: Strong scripting skills, experience with big data architectures, and AI/ML pipeline support required.
- Other info: UK citizenship and highest level clearance are mandatory.
The predicted salary is between 77400 - 116000 £ per year.
Job Description
Big Data Engineer – Defence & National Security\\n📍 Full-time, On-Site | 💷 £77,400 – £116,000 | UK Citizenship & Highest Level Clearance Required | 🧳 Relocation Assistance Available\\n\\nWork at the cutting edge of national security and big data innovation.\\n\\nMy client is seeking an experienced Big Data Engineer to help design, implement, and optimise scalable data systems that support critical AI, ML, and data science operations in a secure, mission-focused environment. This is a high-impact, high-trust role, supporting the UK’s most sensitive digital transformation programmes.\\n\\n🔧 Key Responsibilities:\\n\\n * \\n\\n Automate and troubleshoot complex data workflows using tools like NiFi and Airflow\\n\\n * \\n\\n Design secure, scalable data systems with GDPR and privacy in mind\\n\\n * \\n\\n Integrate and maintain big data platforms like Hive, Impala, and Elasticsearch\\n\\n * \\n\\n Support hybrid cloud infrastructure (on-premise + AWS)\\n\\n * \\n\\n Enable AI/ML environments using tools such as Jupyter, Spacy, and Transformers\\n\\n * \\n\\n Use BI tools like Tableau, Kibana, and PowerBI for reporting and insight delivery\\n\\n * \\n\\n Collaborate across engineering and data science teams to deliver high-impact outcomes\\n\\n✅ You’ll Need:\\n\\n * \\n\\n Strong scripting and Linux system administration skills\\n\\n * \\n\\n Deep understanding of TCP/IP, OSI models, and network troubleshooting\\n\\n * \\n\\n Experience with NoSQL databases and big data architectures\\n\\n * \\n\\n Track record supporting AI/ML pipelines in regulated or secure environments\\n\\n * \\n\\n Excellent problem-solving and integration testing skills\\n\\n🌟 Desirable:\\n\\n * \\n\\n AWS/cloud certifications\\n\\n * \\n\\n Experience with Cloudera, Hadoop, CDSW, or CML\\n\\n * \\n\\n Background in defence, intelligence, or highly regulated industries\\n\\n🎯 Why Apply?\\n\\n * \\n\\n Be part of a mission with real national impact\\n\\n * \\n\\n Competitive salary & benefits\\n\\n * \\n\\n Supportive team, with access to cutting-edge tools and training\\n\\n * \\n\\n Work on-site with some of the most advanced data systems in the UK\\n\\nDefine what’s possible. Apply now and help build the future of secure data in defence
Big Data Engineer employer: centrum solutions
Contact Detail:
centrum solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Big Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as NiFi, Airflow, and Elasticsearch. Having hands-on experience or projects showcasing your skills with these technologies can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the defence and national security sectors. Attend relevant meetups or online forums to connect with individuals who work in similar roles. This can provide insights into the industry and potentially lead to referrals.
✨Tip Number 3
Stay updated on the latest trends in big data and AI/ML, especially within regulated environments. Being knowledgeable about current challenges and innovations can help you engage in meaningful conversations during interviews.
✨Tip Number 4
Prepare to discuss your problem-solving approach and integration testing experiences. Be ready to share specific examples of how you've tackled complex data workflows or supported AI/ML pipelines in previous roles.
We think you need these skills to ace Big Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the job description. Focus on your expertise in big data technologies, scripting, and any experience in secure environments.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for national security and big data. Mention specific projects or experiences that demonstrate your ability to design and optimise scalable data systems.
Highlight Relevant Certifications: If you have AWS/cloud certifications or experience with tools like Cloudera or Hadoop, make sure to include these prominently in your application. They can set you apart from other candidates.
Showcase Problem-Solving Skills: In your application, provide examples of how you've tackled complex data workflows or integrated big data platforms. This will demonstrate your problem-solving abilities and technical expertise.
How to prepare for a job interview at centrum solutions
✨Showcase Your Technical Skills
Be prepared to discuss your experience with big data technologies like Hive, Impala, and Elasticsearch. Highlight specific projects where you've automated data workflows using tools such as NiFi or Airflow, as this will demonstrate your hands-on expertise.
✨Understand the Security Context
Since this role involves national security, it's crucial to show your understanding of GDPR and privacy regulations. Be ready to discuss how you would design secure data systems and your experience in regulated environments.
✨Demonstrate Problem-Solving Abilities
Prepare examples of complex problems you've solved in previous roles, particularly those related to AI/ML pipelines or network troubleshooting. This will showcase your analytical skills and ability to work under pressure.
✨Collaborative Mindset
Emphasise your experience working in cross-functional teams, especially with data science and engineering teams. Discuss how collaboration has led to successful project outcomes, as teamwork is key in this high-impact role.
