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- Tasks: Design and build secure, production-grade data platforms for defence and national security.
- Company: Leading UK technology and consulting organisation with a focus on innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in a highly technical environment while working with cutting-edge technologies.
- Qualifications: Active DV clearance and strong hands-on experience in data engineering or architecture.
- Other info: Join a dynamic team solving complex technical challenges in secure environments.
The predicted salary is between 60000 - 80000 £ per year.
Datatech Analytics is supporting a leading UK technology and consulting organisation delivering secure, production-grade data platforms across defence and national security.
We’re keen to speak with DV-cleared Data Engineers first and foremost, alongside Architects who are still close to the build, not just governance. These roles sit in highly technical, engineering-led environments where the focus is on designing, building and scaling data platforms that underpin AI, analytics and operational decision making.
What you’ll be doing:
- Designing and building robust, production-grade data pipelines end-to-end
- Engineering scalable data platforms across ingestion, transformation and serving layers
- Working with large-scale structured and unstructured datasets in secure environments
- Deploying and optimising cloud-native data infrastructure
- Collaborating with engineers, architects and delivery teams to solve complex technical problems
Tech stack / environment:
- Python, SQL as core
- Spark, Databricks, distributed data processing
- AWS, Azure or GCP
- Modern data platforms, lakehouse, warehouse, streaming where relevant
Who we’re looking for:
- Active DV clearance essential
- Strong hands-on engineers, not just design oversight
- Experience building and running production data platforms
- Architects who still engage technically and lead from the front
These are engineering-heavy roles, working on complex, real-world systems where reliability, scale and security matter. If you’re DV cleared and want to stay close to the technology while working on genuinely impactful programmes, worth a conversation.
DV Cleared Data Engineers & Data Architects in Manchester employer: Datatech Analytics
Contact Detail:
Datatech Analytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DV Cleared Data Engineers & Data Architects in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in defence and national security. 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! Prepare a portfolio or a GitHub repository showcasing your projects, especially those involving Python, SQL, or cloud platforms. This gives potential employers a taste of what you can do beyond just your CV.
✨Tip Number 3
Ace the interview by practising common technical questions related to data engineering and architecture. We recommend doing mock interviews with friends or using online platforms to get comfortable with the format.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace DV Cleared Data Engineers & Data Architects in Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your hands-on experience with data platforms and any relevant tech stack you've worked with, like Python or AWS.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data engineering and how your background aligns with our needs. Be sure to mention your DV clearance and any specific projects that showcase your technical prowess.
Showcase Your Technical Skills: In your application, don’t shy away from detailing your technical skills. Mention specific tools and technologies you’ve used, especially those listed in the job description, like Spark or Databricks.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role without any hiccups!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech Stack
Make sure you’re well-versed in the tech stack mentioned in the job description. Brush up on Python, SQL, and any tools like Spark or Databricks. Being able to discuss your hands-on experience with these technologies will show that you’re not just familiar with them but can actually apply them in real-world scenarios.
✨Demonstrate Problem-Solving Skills
Prepare to discuss specific examples where you've tackled complex technical problems. Think about challenges you've faced while designing or building data platforms and how you overcame them. This will highlight your engineering mindset and ability to collaborate effectively with teams.
✨Understand Security Protocols
Since these roles are in secure environments, be ready to talk about your understanding of security protocols and best practices. Having a solid grasp of how to handle sensitive data and maintain compliance will set you apart as a candidate who takes security seriously.
✨Engage with the Interviewers
Don’t just wait for questions; engage with your interviewers. Ask insightful questions about their current projects or challenges they face. This shows your genuine interest in the role and helps you assess if the company is the right fit for you too.