At a Glance
- Tasks: Design and build secure, scalable data platforms in a hybrid environment.
- Company: Leading consulting and technology organisation focused on defence and national security.
- Benefits: Competitive contract rate, flexible working, and opportunities to work on mission-critical systems.
- Other info: Dynamic role with opportunities for professional growth in a secure environment.
- Why this job: Join a team tackling complex engineering challenges and make a real impact.
- Qualifications: DV clearance, experience with Python, SQL, and cloud platforms like AWS or Azure.
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.
Key responsibilities include:
- Building and scaling modern data platforms across highly secure environments
- Working across the full engineering lifecycle from ingestion through to consumption and optimisation
- Designing and building end-to-end data pipelines
- Engineering scalable batch and real-time data platforms
- Optimising cloud-native infrastructure and platform performance
- Supporting modern lakehouse, streaming and distributed data environments
Required skills:
- Python, SQL
- AWS, Azure or GCP
- Streaming, lakehouse and modern data platform architectures
- Strong background building secure, production-scale data platforms
- 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.
DV Cleared Data Engineer - Contract - 6 Months 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 employee growth, we provide opportunities to tackle complex engineering challenges while working on mission-critical systems in a secure environment. Our hybrid work model allows for flexibility, ensuring that our team members can thrive both professionally and personally.
StudySmarter Expert Advice🤫
We think this is how you could land DV Cleared Data Engineer - Contract - 6 Months in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in defence or data engineering. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio of projects or contributions to open-source, make sure to highlight them during interviews. It’s a great way to demonstrate your hands-on experience with data platforms.
✨Tip Number 3
Prepare for technical challenges! Brush up on your Python and SQL skills, and be ready to tackle real-world problems during interviews. Practice makes perfect, so consider mock interviews with friends or colleagues.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented DV cleared engineers. Your next big opportunity could be just a click away, so get your application in!
We think you need these skills to ace DV Cleared Data Engineer - Contract - 6 Months 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 Python, SQL, and cloud platforms like AWS, Azure, or GCP. We want to see how you’ve tackled complex engineering challenges!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about building secure data platforms and how your background aligns with our needs. Let us know what excites you about working in defence and national security.
Showcase Your Projects:If you've worked on any relevant projects, make sure to mention them! Whether it's building end-to-end data pipelines or optimising cloud-native infrastructure, we love to see real-world examples of your work and problem-solving skills.
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 us you’re keen to join our team!
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 Python, SQL, and cloud platforms such as AWS, Azure, or GCP. Brush up on your knowledge of streaming and lakehouse architectures, as you might be asked to discuss how you've used these in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of complex engineering challenges you've faced and how you tackled them. Use the STAR method (Situation, Task, Action, Result) to structure your answers, making it clear how your contributions led to successful outcomes.
✨Understand the Security Aspect
Since this role involves working in highly secure environments, be ready to discuss your experience with security protocols and best practices in data engineering. Highlight any relevant projects where you ensured data integrity and compliance with security standards.
✨Ask Insightful Questions
Prepare thoughtful questions about the company’s approach to building and scaling data platforms. This shows your genuine interest in the role and helps you assess if the company aligns with your career goals. Consider asking about their current projects or challenges they face in data engineering.
