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- Tasks: Design and build secure data pipelines and engineer ETL processes for national security programmes.
- Company: Join Ncounter, a specialist tech consultancy focused on advanced data and AI solutions.
- Benefits: Competitive salary, hands-on experience, and the chance to work on impactful projects.
- Why this job: Make a difference in national security while solving complex data challenges.
- Qualifications: Active DV clearance, strong skills in Python, SQL, and TypeScript.
- Other info: Dynamic role with opportunities to improve architectural standards in secure environments.
The predicted salary is between 48000 - 72000 £ per year.
Ncounter are supporting a specialist technology consultancy delivering advanced data and AI platforms into highly secure Government and Defence environments. We are seeking a DV Cleared Consultant Engineer to join a growing engineering practice working at the sharp end of national security programmes. This is a deeply technical, hands-on role suited to engineers who enjoy solving complex data integration and workflow challenges within secure, mission-critical settings.
Core experience required:
- Active DV clearance, with willingness to work onsite within secure UK locations
- Strong software engineering capability in Python, SQL and TypeScript
- Proven delivery of complex data engineering solutions across cloud and on-prem environments
- Experience designing and optimising ETL pipelines and data models at scale
- Ability to integrate AI or machine learning components into operational systems
- Confident stakeholder engagement within Defence or other classified programmes
You will operate across the full engineering lifecycle, translating ambiguous operational problems into robust technical designs and scalable implementations. Working closely with end users and technical stakeholders, you will design and build secure data pipelines, engineer ETL processes, and develop operational workflows that drive real-world decision advantage. Exposure to Palantir style platforms such as Foundry or Gotham, or similar large-scale data integration environments, is highly desirable.
You will be expected to challenge assumptions, improve architectural standards and deliver solutions that are secure, performant and supportable in highly constrained environments. This is not a generic consultancy post; it is a technical engineering role where code quality, system design and secure deployment truly matter.
If you hold active DV and want to apply your engineering expertise to programmes of national importance, contact Ncounter for a confidential discussion.
Data Engineer employer: Ncounter Limited
Contact Detail:
Ncounter Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in government or defence sectors. A friendly chat can lead to insider info about job openings that might not even be advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving Python, SQL, and ETL processes. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding complex data integration challenges. Practice common interview questions related to data engineering and be ready to demonstrate your problem-solving abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented engineers like you. Plus, it’s a great way to ensure your application gets the attention it deserves.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with Python, SQL, and TypeScript, and don’t forget to mention your active DV clearance. We want to see how your skills align with the job description!
Showcase Your Projects: Include specific examples of complex data engineering solutions you've delivered. Talk about your experience with ETL pipelines and any AI or machine learning components you've integrated. This will help us understand your hands-on capabilities.
Engage with Stakeholders: Since stakeholder engagement is key in this role, share instances where you’ve successfully collaborated with end users or technical stakeholders. We love to see how you communicate and solve problems in a team setting!
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 this exciting opportunity. We can’t wait to see what you bring to the table!
How to prepare for a job interview at Ncounter Limited
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and TypeScript skills. Be ready to discuss specific projects where you've delivered complex data engineering solutions, especially in cloud and on-prem environments. The more detailed examples you can provide, the better!
✨Understand the Security Landscape
Since this role involves working in highly secure environments, it's crucial to demonstrate your understanding of security protocols and compliance. Familiarise yourself with the implications of DV clearance and be prepared to discuss how you've navigated security challenges in past roles.
✨Showcase Your Problem-Solving Skills
This position is all about tackling complex data integration challenges. Prepare to walk through your thought process on how you approach ambiguous operational problems and translate them into technical designs. Use real-world examples to illustrate your problem-solving capabilities.
✨Engage with Stakeholders
Confident stakeholder engagement is key in this role. Think about times when you've collaborated with end users or technical stakeholders. Be ready to share how you’ve communicated technical concepts to non-technical audiences and how you’ve gathered requirements effectively.