Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and build complex data platforms for critical decision making in secure environments.
- Company: Leading AI and data consultancy at the forefront of Defence and Government applications.
- Benefits: Hybrid work model, competitive salary, and opportunities to work on cutting-edge technology.
- Why this job: Make a real-world impact by solving challenging data engineering problems with advanced AI solutions.
- Qualifications: Active DV Clearance, strong Python and SQL skills, and experience in ETL processes.
- Other info: Join a dynamic team focused on innovative data solutions in high-stakes environments.
The predicted salary is between 60000 - 80000 £ per year.
Ncounter is working with a highly specialised AI and data consultancy delivering advanced analytics and machine learning capability into some of the UK’s most secure environments. They are growing their engineering team and are looking for a DV Cleared Data Engineer to play a key role in building complex data platforms that directly support critical decision making.
This is a hands-on engineering role focused on designing, building and optimising data pipelines within highly controlled, high impact programmes. You will work across modern data ecosystems, integrating large scale datasets, developing robust ETL processes and enabling the deployment of AI and machine learning solutions into operational settings. The work is technically challenging, often requiring creative problem solving in constrained environments where performance, security and reliability are essential.
The organisation is at the forefront of applying AI within Defence and Government, with strong exposure to platforms such as Palantir and similar large scale data integration technologies. You will be working closely with both technical teams and end users, translating real world problems into scalable, production grade solutions.
Key experience required:
- Active DV Clearance and willingness to work within secure UK environments
- Strong Data Engineering background with solid programming skills in Python and SQL
- Proven experience designing and building ETL pipelines and data workflows at scale
- Experience working across cloud and on prem data platforms
- Exposure to machine learning or AI driven systems within production environments
- Understanding of complex data integration challenges within enterprise or secure settings
- Ability to engage with stakeholders and operate effectively in delivery focused teams
This role would suit someone from a Defence, National Security, or consultancy background who enjoys working on technically demanding problems with real world impact. If you are looking to apply your data engineering expertise within cutting edge AI programmes and secure environments, please get in touch for a confidential discussion.
Data Consultant employer: Ncounter Limited
Contact Detail:
Ncounter Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Consultant
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working in AI and data consultancy. Attend meetups or webinars, and don’t be shy to slide into DMs on LinkedIn – you never know who might have the inside scoop on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving ETL pipelines and machine learning. 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 skills. Be ready to discuss your experience with Python, SQL, and cloud platforms. Practice problem-solving scenarios that reflect the challenges you might face in a secure environment.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role you’re interested in.
We think you need these skills to ace Data Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Consultant role. Highlight your experience with data engineering, ETL pipelines, and any relevant programming skills in Python and SQL. We want to see how your background aligns with the job description!
Showcase Your Projects: Include specific projects where you've designed and built data workflows or worked with AI systems. This gives us a clear picture of your hands-on experience and problem-solving skills in real-world scenarios.
Engage with the Role: In your cover letter, express why you're excited about working in secure environments and how you can contribute to our team. We love seeing genuine enthusiasm for the role and the impact it has on Defence and Government sectors.
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 makes the whole process smoother for everyone involved.
How to prepare for a job interview at Ncounter Limited
✨Know Your Data Inside Out
Make sure you brush up on your data engineering skills, especially in Python and SQL. Be prepared to discuss your experience with ETL pipelines and how you've tackled complex data integration challenges in the past.
✨Showcase Your Problem-Solving Skills
Since this role involves creative problem-solving in high-stakes environments, think of specific examples where you've successfully navigated technical challenges. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Familiarise Yourself with AI and Machine Learning
Given the focus on AI-driven systems, it’s crucial to understand how these technologies work within production environments. Be ready to discuss any relevant projects or experiences that highlight your knowledge in this area.
✨Engage with Stakeholders
This role requires effective communication with both technical teams and end users. Prepare to demonstrate your ability to translate complex technical concepts into understandable terms for stakeholders, showcasing your collaborative approach.