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- Tasks: Lead AI and Data Engineering projects, shaping innovative solutions in a dynamic environment.
- Company: Join a forward-thinking organisation focused on cutting-edge AI and data capabilities.
- Benefits: Enjoy hybrid working, competitive salary, and opportunities for professional growth.
- Why this job: Be part of a greenfield team, influencing the future of AI and data engineering.
- Qualifications: Experience in data engineering is essential; AI experience is a bonus but not required.
- Other info: This role offers leadership opportunities and a chance to define team culture from day one.
The predicted salary is between 68000 - 68000 £ per year.
Salary: Up to £68,000 + benefits
Location: Edinburgh - hybrid home working
We're hiring a Lead AI and Data Engineer to drive innovation at the heart of a forward-thinking organisation. This strategic and hands-on role will shape AI and data engineering capabilities, delivering impactful solutions across areas like generative AI, predictive modelling, and semantic data architecture.
This is a greenfield opportunity within a well-established company - you'll be joining at the ground level of a newly formed AI and data team, with the chance to define the tools, standards, and culture from day one. As the department grows, you'll step into a key leadership role with direct influence over its direction and success.
AI experience isn’t essential - if you’re a seasoned data engineer ready to step into a cutting-edge environment and explore AI technologies, this role offers the perfect platform to grow into that space.
- Key Highlights:
- Greenfield team - help shape a modern AI/data capability from the ground up
- Leadership role with line management responsibilities
- Focus on Microsoft Azure data stack and production-grade AI
- Strong emphasis on DataOps, MLOps, and CI/CD
- Hybrid Agile and structured delivery model
- Opportunity to move into AI and grow with a scaling department
We’re looking for a technical leader with deep experience in modern data platforms and cloud architecture, someone excited by the opportunity to lead, innovate, and grow in a cutting-edge space.
Apply now to be part of something new, impactful, and forward-looking.
Contact Detail:
MBN Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead AI and Data Engineer (Edinburgh)
✨Tip Number 1
Familiarise yourself with the Microsoft Azure data stack, as this is a key focus for the role. Consider exploring online resources or courses that cover Azure's data services and tools to demonstrate your commitment and readiness to work in this environment.
✨Tip Number 2
Showcase your leadership skills by preparing examples of how you've successfully led teams or projects in the past. Highlighting your ability to manage and inspire others will be crucial, especially since this role involves line management responsibilities.
✨Tip Number 3
Stay updated on the latest trends in AI and data engineering, particularly in generative AI and predictive modelling. Engaging with relevant communities or attending webinars can help you gain insights and demonstrate your enthusiasm for the field during discussions.
✨Tip Number 4
Prepare to discuss your experience with DataOps, MLOps, and CI/CD practices. Being able to articulate how you've implemented these methodologies in previous roles will show that you're well-equipped to contribute to the team's success from day one.
We think you need these skills to ace Lead AI and Data Engineer (Edinburgh)
Some tips for your application 🫡
Understand the Role: Read the job description thoroughly to grasp the key responsibilities and requirements. Highlight your relevant experience in data engineering and any interest in AI technologies.
Tailor Your CV: Customise your CV to reflect your skills and experiences that align with the Lead AI and Data Engineer position. Emphasise your leadership capabilities, experience with cloud architecture, and familiarity with Microsoft Azure.
Craft a Compelling Cover Letter: Write a cover letter that showcases your passion for innovation and leadership in data engineering. Mention specific projects or experiences that demonstrate your ability to shape a new team and drive impactful solutions.
Highlight Relevant Skills: In your application, make sure to highlight your technical skills, especially in DataOps, MLOps, and CI/CD practices. If you have experience with generative AI or predictive modelling, be sure to include that as well.
How to prepare for a job interview at MBN Solutions
✨Showcase Your Leadership Skills
As this role involves a leadership position, be prepared to discuss your previous experiences in leading teams or projects. Highlight how you’ve motivated others and driven successful outcomes, especially in data engineering or related fields.
✨Demonstrate Technical Proficiency
Familiarise yourself with the Microsoft Azure data stack and be ready to discuss your experience with DataOps, MLOps, and CI/CD practices. Prepare to answer technical questions that showcase your understanding of modern data platforms and cloud architecture.
✨Emphasise Adaptability and Learning
Since AI experience isn’t essential, focus on your willingness to learn and adapt to new technologies. Share examples of how you've successfully transitioned into new areas or embraced innovative solutions in your past roles.
✨Prepare Questions About the Team and Culture
As you’ll be shaping a new team, ask insightful questions about the company culture, team dynamics, and expectations for the role. This shows your interest in contributing positively to the environment and helps you gauge if it’s the right fit for you.
