At a Glance
- Tasks: Design and build secure, scalable data platforms in a hands-on engineering role.
- Company: Leading consulting and technology organisation focused on national security.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborative team environment with a focus on modern technologies.
- Why this job: Make a real impact by solving complex engineering challenges in high-stakes environments.
- Qualifications: Active DV clearance and strong experience in building secure data platforms.
The predicted salary is between 60000 - 80000 € per year.
Datatech Analytics is partnering with a leading consulting and technology organisation delivering secure, large-scale data platforms across defence, national security and critical infrastructure. We’re looking to speak with DV cleared Lead Data Engineers and senior platform-focused engineers who still enjoy building, solving problems and staying close to delivery. The work is genuinely high impact, involving production-grade systems, complex engineering challenges and environments where performance, resilience and security matter.
The role involves building and scaling modern data platforms across highly secure environments, working across the full engineering lifecycle from ingestion through to consumption and optimisation. This is hands-on engineering, not oversight-heavy governance work removed from delivery.
What you’ll be doing:
- Designing and building end-to-end data pipelines
- Engineering scalable batch and real-time data platforms
- Working with large-scale structured and unstructured datasets
- Optimising cloud-native infrastructure and platform performance
- Collaborating with architects, engineering teams and programme leadership on secure delivery
- Supporting modern lakehouse, streaming and distributed data environments
Environment:
- Python, SQL
- Spark, Databricks
- AWS, Azure or GCP
- Streaming, lakehouse and modern data platform architectures
Requirements:
- Active DV clearance, essential
- Strong background building secure, production-scale data platforms
- Experience leading engineering delivery or mentoring teams
- Strong understanding of cloud-native and distributed data environments
- Engineers who still enjoy staying close to technology and implementation
If you’re DV cleared and interested in building genuinely mission-critical systems, it’s worth a conversation.
Data Engineer - Security Cleared in Manchester employer: Datatech Analytics
Datatech Analytics is an exceptional employer, offering a dynamic work culture that prioritises innovation and collaboration in the field of data engineering. With a focus on high-impact projects within defence and national security, employees benefit from hands-on experience with cutting-edge technologies while enjoying opportunities for professional growth and development. The hybrid work model allows for flexibility, making it an attractive workplace for those seeking meaningful contributions in a secure environment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineer - Security Cleared in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in data engineering or security. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and cloud-native platforms. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with Python, SQL, and cloud platforms like AWS or Azure. We want you to shine when it comes to those complex engineering challenges!
✨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 and engaged in their job search.
We think you need these skills to ace Data Engineer - Security Cleared 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 experience with data platforms, cloud environments, and any relevant projects you've worked on. We want to see how you fit into our world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how your background aligns with our mission. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Technical Skills:Don’t shy away from listing your technical proficiencies! Mention your experience with Python, SQL, and any cloud platforms like AWS or Azure. We’re looking for hands-on engineers who can hit the ground running, so let us know what you bring to the table.
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. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Datatech Analytics
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, like Python, SQL, and cloud platforms such as AWS, Azure, or GCP. Brush up on your knowledge of Spark and Databricks too, as these will likely come up during technical discussions.
✨Showcase Your Problem-Solving Skills
Prepare to discuss specific challenges you've faced in building data platforms. Think about how you approached these problems, the solutions you implemented, and the impact they had. This will demonstrate your hands-on experience and ability to tackle complex engineering challenges.
✨Understand Security Protocols
Since this role requires active DV clearance, be ready to talk about your understanding of security protocols in data engineering. Highlight any previous experiences where you ensured data security and compliance, as this is crucial for the role.
✨Collaborate and Communicate
Emphasise your ability to work with cross-functional teams. Prepare examples of how you’ve collaborated with architects and programme leadership in past projects. Good communication skills are key in ensuring secure delivery and optimising performance in a team setting.
