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- Tasks: Lead the design and deployment of cloud-based data and AI solutions.
- Company: Fast-growing consultancy in Greater London with an innovative team.
- Benefits: Opportunity to mentor, shape future data solutions, and work with talented engineers.
- Why this job: Make a real impact in the exciting field of data and AI.
- Qualifications: 4+ years in cloud environments, strong skills in Python, SQL, and ETL development.
- Other info: Join a dynamic team and drive strategic direction in data engineering.
The predicted salary is between 70000 - 98000 £ per year.
A fast-growing consultancy in Greater London is seeking a Lead Data & Platform Engineer to join their innovative team. This role involves leading the design and deployment of cloud-based data and AI solutions, managing a talented group of engineers, and driving strategic direction in data engineering.
Ideal candidates will have at least 4 years of experience in cloud environments and a strong background in Python, SQL, and ETL development. This position provides an opportunity to mentor and shape the future of data solutions within the organization.
Head of Data & AI Platform Engineering in London employer: Curveanalytics
Contact Detail:
Curveanalytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data & AI Platform Engineering in London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving cloud-based data and AI solutions. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and ETL development. Practice common interview questions and think about how you can demonstrate your leadership abilities.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals to join our innovative team. Your next big opportunity could be just a click away!
We think you need these skills to ace Head of Data & AI Platform Engineering in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your cloud experience, Python, SQL, and ETL development skills to show us you're the perfect fit for the role.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and AI solutions. Share specific examples of your past work that align with the responsibilities of leading a team and driving strategic direction.
Showcase Your Leadership Skills: Since this role involves managing a talented group of engineers, make sure to highlight any leadership or mentoring experiences you've had. We want to see how you can inspire and guide a team towards success.
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 during the process.
How to prepare for a job interview at Curveanalytics
✨Know Your Tech Inside Out
Make sure you’re well-versed in cloud environments, Python, SQL, and ETL development. Brush up on your technical skills and be ready to discuss specific projects where you've successfully implemented these technologies.
✨Showcase Your Leadership Skills
As a Head of Data & AI Platform Engineering, you'll need to manage a team. Prepare examples of how you've led teams in the past, mentored junior engineers, or driven strategic initiatives. Highlight your ability to inspire and guide others.
✨Understand the Company’s Vision
Research the consultancy's mission and recent projects. Be prepared to discuss how your experience aligns with their goals and how you can contribute to shaping the future of their data solutions.
✨Prepare Thoughtful Questions
Interviews are a two-way street! Think of insightful questions about the company’s data strategy, team dynamics, or upcoming projects. This shows your genuine interest and helps you assess if it’s the right fit for you.