At a Glance
- Tasks: Lead the development of scalable data platforms for AI/ML and mentor junior engineers.
- Company: Burns Sheehan, a forward-thinking tech company in Manchester.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Make a real impact in AI/ML by building robust data infrastructure.
- Qualifications: Strong foundations in data engineering with experience in Python and SQL.
The predicted salary is between 80000 - 120000 £ per year.
Burns Sheehan is seeking a hands-on VP of Data Engineering in Manchester to lead the development of scalable data platforms for AI/ML use cases. This hybrid role requires collaborating closely with data scientists and engineers to build robust data pipelines.
The ideal candidate will have strong foundations in data engineering and experience in Python and SQL. You'll mentor junior engineers and contribute to building the data infrastructure that powers machine learning.
VP of Data Engineering for AI/ML, Hybrid UK in Manchester employer: Burns Sheehan
At Burns Sheehan, we pride ourselves on fostering a dynamic and inclusive work culture that champions innovation and collaboration. As a VP of Data Engineering in Manchester, you'll not only lead cutting-edge projects in AI/ML but also enjoy ample opportunities for professional growth and mentorship within a supportive team environment. Our commitment to employee development, combined with the vibrant tech scene in Manchester, makes us an exceptional employer for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land VP of Data Engineering for AI/ML, Hybrid UK in Manchester
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with AI/ML. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects in Python and SQL. This is your chance to demonstrate your hands-on experience and how you’ve built scalable data platforms.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to discuss how you’ve mentored junior engineers and collaborated with data scientists to build robust data pipelines.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace VP of Data Engineering for AI/ML, Hybrid UK in Manchester
Some tips for your application 🫡
Show Your Passion for Data Engineering:When writing your application, let your enthusiasm for data engineering shine through. We want to see how your experience aligns with our mission to build scalable data platforms for AI/ML. Share specific projects or achievements that highlight your skills in Python and SQL.
Tailor Your CV and Cover Letter:Make sure to customise your CV and cover letter for the VP of Data Engineering role. We’re looking for someone who can lead and mentor, so emphasise your leadership experience and any mentoring roles you've had. This will help us see how you fit into our team.
Highlight Collaboration Skills:Since this role involves working closely with data scientists and engineers, it’s crucial to showcase your collaboration skills. Mention any past experiences where you’ve successfully worked in a team to build robust data pipelines or tackle complex projects together.
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 on joining our team!
How to prepare for a job interview at Burns Sheehan
✨Know Your Data Engineering Fundamentals
Make sure you brush up on your data engineering principles, especially around scalable data platforms. Be ready to discuss your experience with Python and SQL in detail, as these are crucial for the role.
✨Showcase Your Collaboration Skills
Since this role involves working closely with data scientists and engineers, prepare examples of how you've successfully collaborated in the past. Highlight any projects where teamwork led to innovative solutions.
✨Mentorship Matters
As a VP, you'll be expected to mentor junior engineers. Think of specific instances where you've guided others or contributed to their growth. This will demonstrate your leadership style and commitment to team development.
✨Prepare for Technical Questions
Expect technical questions that test your knowledge of data pipelines and AI/ML use cases. Practise explaining complex concepts in simple terms, as this will show your ability to communicate effectively with both technical and non-technical stakeholders.
