At a Glance
- Tasks: Design and develop data solutions in secure environments using modern technologies.
- Company: Join a leading engineering organisation focused on national security and innovation.
- Benefits: Competitive salary, hybrid working, and opportunities for professional growth.
- Other info: Explore unique opportunities with a focus on technical autonomy and modern practices.
- Why this job: Make a real impact in cutting-edge projects while enjoying a strong team culture.
- Qualifications: Experience in data engineering or architecture with active DV/eDV clearance preferred.
The predicted salary is between 50000 - 65000 € per year.
Location: Opportunities available across all compass points
Hybrid: Secure-site working patterns vary by programme
Salary: Competitive depending on experience, clearance and SFIA grading
Clearance: Active DV / eDV clearance preferred
The Opportunity
We work with a carefully selected group of engineering-led organisations operating across the UK National Security ecosystem, ranging from specialist SMEs through to R&D-focused technology businesses delivering complex cloud, AI and data capability into secure environments. The common thread across all of them is strong engineering culture, modern technology environments and a focus on building teams where people are trusted to do meaningful work.
Many of the engineers we speak to are not actively applying for jobs, but are curious about what else exists outside of the more traditional prime or consultancy environments. Often that means exploring opportunities with better technical exposure, broader project work, stronger cultures or access to more modern engineering practices.
This open application is designed for Data Engineers and Data Architects who want a discreet conversation about the market, the types of organisations currently hiring and the environments where engineering quality is genuinely prioritised.
The work across our network typically spans areas such as:
- Cloud-native data platforms
- Distributed and streaming data systems
- AI / ML-enabled capability
- Geospatial and operational data platforms
- Secure analytics environments
- High-assurance systems and modern digital transformation programmes
The organisations we support range from long-standing National Security engineering businesses through to fast-growing specialist SMEs with strong reputations across the ecosystem. Many offer environments that feel very different to the larger consultancies or primes, with flatter structures, closer-knit engineering teams and greater technical ownership.
Typical Technology Environments
The exact stack varies across clients and programmes, but we regularly work with teams using technologies such as:
- Python and modern data processing frameworks
- Apache Spark, Kafka and streaming architectures
- AWS cloud and cloud-native data services
- Kubernetes and containerised platforms
- ETL and orchestration tooling such as NiFi
- Relational and NoSQL database technologies
- AI / ML engineering tooling and modern analytics platforms
- Geospatial and operational data systems
Some opportunities are heavily engineering-focused, others lean more towards architecture, technical leadership or customer-facing design work. What matters most across the market is usually not a perfect stack match, but strong engineering fundamentals, adaptability and the ability to work effectively with both technical teams and stakeholders.
Who This Is For
We’re interested in speaking with:
- Data Engineers working across pipelines, platforms or analytics systems
- Data Architects designing scalable cloud and data platforms
- Engineers working within AI / ML, geospatial or operational data environments
- People operating in secure environments who want visibility into broader market opportunities
- Engineers and architects who value strong culture, technical autonomy and modern engineering practices
You do not need to be actively looking to have a conversation. In many cases, the most valuable discussions simply help engineers benchmark their current environment, understand where the market is moving and gain access to opportunities that are rarely advertised publicly.
Security Requirements
Due to the nature of the environments we support, most opportunities require active DV or eDV clearance, or eligibility to progress through higher levels of UK vetting.
Data Engineers & Architects (DV / eDV Cleared) in London employer: Forwardrole
Join a dynamic and innovative team that prioritises engineering excellence and fosters a culture of trust and collaboration. With opportunities across the UK National Security ecosystem, we offer competitive salaries, hybrid working patterns, and a commitment to employee growth through exposure to cutting-edge technologies and diverse projects. Experience a supportive environment where your contributions are valued, and you can take ownership of meaningful work in modern engineering practices.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineers & Architects (DV / eDV Cleared) in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, attend meetups, and engage in online forums. You never know who might have the inside scoop on a job that’s not even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects and contributions. This gives potential employers a tangible look at what you can do, especially in tech-heavy roles like Data Engineering.
✨Tip Number 3
Don’t just apply; engage! When you find a role that excites you, reach out directly to the hiring manager or recruiter. A quick message expressing your interest can set you apart from the crowd.
✨Tip Number 4
Keep an eye on our website for open applications! We’re always looking for talented Data Engineers and Architects. Applying through us means you’ll be in the loop about opportunities that fit your skills and interests.
We think you need these skills to ace Data Engineers & Architects (DV / eDV Cleared) in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Data Engineer or Architect roles we're looking for. Highlight your experience with cloud technologies, data processing frameworks, and any relevant security clearances.
Craft a Compelling Cover Letter:Your cover letter is your chance to show us your personality and passion for engineering. Share why you're interested in working with us and how your background makes you a great fit for our unique culture and projects.
Showcase Your Projects:If you've worked on interesting projects, especially in AI/ML or cloud-native environments, make sure to include them! We love seeing real-world applications of your skills and how you've tackled challenges.
Apply Through Our Website:We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves, and you can easily keep track of your application status!
How to prepare for a job interview at Forwardrole
✨Know Your Tech Stack
Familiarise yourself with the technologies mentioned in the job description, like Python, Apache Spark, and AWS. Be ready to discuss your experience with these tools and how you've used them in past projects. This shows you’re not just a fit on paper but can also bring real-world expertise to the table.
✨Showcase Your Engineering Fundamentals
Emphasise your strong engineering fundamentals during the interview. Be prepared to explain how you approach problem-solving and design scalable systems. Use examples from your previous work to illustrate your adaptability and technical ownership, which are key traits for success in this role.
✨Understand the Security Landscape
Since the role involves working in secure environments, brush up on the importance of security in data engineering and architecture. Be ready to discuss how you’ve navigated security requirements in past roles, especially if you have experience with DV or eDV clearance.
✨Cultural Fit Matters
Research the company’s culture and values. Be prepared to discuss why you value a strong engineering culture and how you contribute to team dynamics. Highlight your experiences in collaborative environments and how you thrive in teams that prioritise meaningful work and technical autonomy.
