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- Tasks: Lead the design and build of secure, scalable data pipelines for mission-focused AI initiatives.
- Company: Join MI6, a prestigious organisation at the forefront of intelligence and technology.
- Benefits: Competitive salary, unique work environment, and opportunities to work on impactful projects.
- Other info: Collaborative culture with opportunities for professional growth and development.
- Why this job: Make a difference by enabling complex decision-making in a fast-paced, high-impact setting.
- Qualifications: Experience in data engineering and a passion for AI and ethical governance.
The predicted salary is between 40000 - 50000 £ per year.
This Lead Data Engineer role sits within MI6, working on mission-focused AI initiatives, designing and delivering the data systems that enable complex decision-making in a fast-moving, high-impact environment.
What you’ll be doing:
- Leading the design and build of secure, scalable data pipelines
- Ensuring data is onboarded, processed and used safely and effectively
- Working across teams to integrate new data sources and AI capabilities
- Translating complex requirements into practical, high-impact solutions
- Supporting the use of AI and LLM workflows, including governance and ethics
- Driving best practice and contributing to the wider engineering community
Lead Data Engineer - MI6 Secret Intelligence Service - SEO in London employer: Onyx-Conseil
Contact Detail:
Onyx-Conseil Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer - MI6 Secret Intelligence Service - SEO in London
✨Tip Number 1
Network like a pro! Reach out to current or former employees at MI6 on LinkedIn. A friendly chat can give us insider info and maybe even a referral.
✨Tip Number 2
Showcase your skills in action! If you’ve worked on data pipelines or AI projects, create a portfolio or GitHub repo. This gives us tangible proof of what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge. Be ready to discuss how you’d design secure, scalable data systems and tackle complex decision-making scenarios.
✨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, it shows you’re serious about joining the team.
We think you need these skills to ace Lead Data Engineer - MI6 Secret Intelligence Service - SEO in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Lead Data Engineer role. Highlight your experience in designing data pipelines and working with AI initiatives, as this will show us you’re a great fit for the mission-focused environment at MI6.
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 prepares you for the challenges of this role. Don’t forget to mention your understanding of governance and ethics in AI!
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to include them in your application. We love seeing practical examples of how you’ve designed and built data systems or integrated new data sources. It gives us insight into your hands-on experience!
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 don’t miss out on any important updates. Plus, it shows us you’re keen to join our team!
How to prepare for a job interview at Onyx-Conseil
✨Know Your Data Inside Out
Make sure you’re well-versed in data engineering concepts, especially around secure and scalable data pipelines. Brush up on your knowledge of AI initiatives and how they can be applied to decision-making processes. Being able to discuss specific examples from your past experience will show that you can translate complex requirements into practical solutions.
✨Showcase Your Teamwork Skills
This role involves working across teams, so be prepared to discuss how you've successfully collaborated with others in the past. Think of examples where you integrated new data sources or AI capabilities, and highlight your ability to communicate effectively with different stakeholders.
✨Understand Governance and Ethics
Since the role supports AI and LLM workflows, it’s crucial to demonstrate your understanding of governance and ethical considerations in data usage. Be ready to share your thoughts on best practices and how you’ve implemented them in previous projects.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Brush up on your coding skills and be ready to solve problems on the spot. Practising common data engineering scenarios can help you feel more confident and showcase your expertise in a high-impact environment.