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- 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 cloud platforms like AWS or Azure.
- Other info: Hands-on roles with leadership potential and dynamic project environments.
The predicted salary is between 48000 - 72000 £ 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 in England 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 in England
✨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 technical questions and real-world scenarios. Practice explaining your thought process and how you've tackled challenges in past projects. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got some fantastic roles waiting for you, and applying directly can sometimes give you an edge. Plus, it’s super easy to keep track of your applications that way.
We think you need these skills to ace Senior Data and AI Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the role of Senior Data and AI Engineer. Highlight your experience in data engineering, analytics, and any relevant cloud platforms like AWS or Azure. We want to see how your skills align with our needs!
Showcase Your Projects: Include specific projects where you've built and deployed secure data pipelines or AI/ML solutions. We love seeing real-world applications of your skills, so don’t hold back on the details!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for easy reading and make sure to address how you meet the requirements listed in the job description. We appreciate straightforward communication!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy to do!
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 data engineering and AI/ML skills, as you might be asked to discuss specific projects or challenges you've faced.
✨Understand Defence Requirements
Familiarise yourself with the Defence sector and its unique requirements. Be prepared to discuss how you can translate these needs into technical designs, as this will show your understanding of the role's context and importance.
✨Showcase Your Leadership Skills
If you're applying for a senior position, be ready to talk about your leadership experience. Share examples of how you've led teams or projects, especially in high-stakes environments like Defence or public sector work.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities. Think about how you would approach building secure data pipelines or implementing DevOps practices in a real-world setting, and be ready to articulate your thought process.
