Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build secure data pipelines and deploy AI/ML solutions for Defence projects.
- Company: Leading UK technology consultancy focused on secure AI and data engineering.
- Benefits: Competitive salary, security clearance support, and opportunities for career advancement.
- Why this job: Make a real impact in Defence while working with cutting-edge technology.
- Qualifications: Experience in data engineering and analytics; cloud platform knowledge preferred.
- Other info: Hands-on roles with leadership potential and dynamic project environments.
The predicted salary is between 36000 - 60000 £ per year.
We’re supporting a leading UK technology and transformation consultancy delivering secure AI, data engineering, and advanced analytics across Defence and critical government programmes. The work is production-grade, building systems that support real Defence capability.
We’re hiring across Engineer, Senior Engineer, Consultant, Senior Consultant, and Managing Consultant levels. All roles remain hands-on, with leadership scope depending on experience.
What you’ll do:
- Build and deploy secure data pipelines, platforms, and AI/ML solutions
- Productionise analytics and ML, including GenAI and agentic patterns where relevant
- Translate Defence requirements into robust technical designs with stakeholders
- Support MOD capability and acquisition work aligned to CADMID
- Implement secure architectures with cloud, platform, and security teams
- Apply DevOps and MLOps, CI/CD, monitoring, auditability, and governance
- Contribute to design reviews, estimates, documentation, and bid inputs
What you’ll bring:
- Strong experience in data engineering, analytics engineering, or applied data science
- Cloud and data platform exposure, AWS, Azure, GCP, and/or Databricks
- Python, ideally PySpark, R helpful but not essential
- End-to-end pipelines, feature engineering, and production ML workflows
- Familiarity with LLMs, GenAI, or agent-based systems
- Defence or secure delivery experience, MOD, suppliers, consultancies, or regulated public sector
- Understanding of requirements artefacts such as URDs, SRDs, ITEAPs, RAMS
- Stakeholder skills, plus workstream or team leadership for senior levels
Security clearance:
- SC required
- DV preferred and may be required for certain assignments
Senior Data and AI Engineer employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data and AI Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people 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 projects, especially those related to AI and data engineering. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with cloud platforms and data pipelines. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles that match your skills, and applying directly can sometimes give you an edge. Plus, it’s super easy to navigate!
We think you need these skills to ace Senior Data and AI Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of Senior Data and AI Engineer. Highlight your experience in data engineering, analytics, and any relevant projects that showcase your skills in building secure data pipelines and AI solutions.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about working in Defence and how your background aligns with our mission at StudySmarter. Don’t forget to mention your familiarity with cloud platforms and any relevant security clearance.
Showcase Your Technical Skills: Be specific about your technical expertise. If you’ve worked with AWS, Azure, or GCP, make sure to list those experiences. Also, mention any hands-on work with Python or ML workflows, as these are key for the role.
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’re considered for the right role. Plus, it’s super easy!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech Inside Out
Make sure you’re well-versed in the technologies mentioned in the job description, like AWS, Azure, and Python. Brush up on your knowledge of data pipelines and AI/ML solutions, as you’ll likely be asked to discuss your hands-on experience with these tools.
✨Understand Defence Requirements
Familiarise yourself with the specific needs of Defence projects. Be prepared to talk about how you can translate Defence requirements into technical designs. Showing that you understand the context of your work will impress the interviewers.
✨Showcase Your Leadership Skills
If you're applying for a senior role, be ready to discuss your leadership experience. Share examples of how you've led teams or projects, especially in a technical environment. This will demonstrate your capability to take on more responsibility.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think about past challenges you've faced in data engineering or analytics and how you overcame them. This will help you illustrate your practical experience effectively.
