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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 make a real impact.
- Other info: Dynamic role with opportunities for professional growth and collaboration across teams.
- Why this job: Be part of high-stakes projects that shape the future of intelligence and decision-making.
- 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 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
✨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, which can really boost our chances.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies that highlight your experience with data pipelines and AI projects. We want to demonstrate how we can tackle complex challenges in a high-impact environment.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data engineering concepts and problem-solving skills. We can even do mock interviews together to build confidence.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets seen by the right people. Plus, we can tailor our application to highlight how we fit into MI6's mission-focused AI initiatives.
We think you need these skills to ace Lead Data Engineer - MI6 Secret Intelligence Service - SEO
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 secure, scalable data pipelines and any work you've done with AI initiatives.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about working at MI6 and how you can contribute to mission-focused AI initiatives. Be specific about your past experiences and how they relate to the job description.
Showcase Your Technical Skills: Don’t forget to mention your technical expertise! Whether it’s data processing, governance, or integrating new data sources, make sure we see your proficiency in these areas clearly in your application.
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 this exciting opportunity at MI6!
How to prepare for a job interview at Onyx-Conseil
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with designing and building secure, scalable data pipelines. Be ready to share specific examples of how you've tackled challenges in previous roles, especially in high-impact environments.
✨Understand AI Integration
Familiarise yourself with the latest AI capabilities and how they can be integrated into data systems. Prepare to discuss how you've previously worked with AI workflows and any governance or ethical considerations you've encountered.
✨Collaborate Like a Pro
Since this role involves working across teams, think of examples where you've successfully collaborated with others. Highlight your communication skills and how you’ve translated complex requirements into practical solutions that benefited the team.
✨Showcase Best Practices
Be prepared to discuss best practices in data engineering and how you've contributed to the wider engineering community. This could include mentoring others, sharing knowledge, or implementing new processes that improved efficiency.