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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 solutions, and work with talented engineers.
- Why this job: Drive strategic direction in data engineering and make a real impact.
- Qualifications: 4+ years in cloud environments, strong skills in Python, SQL, and ETL.
- Other info: Dynamic role with potential for career advancement.
The predicted salary is between 60000 - 84000 £ 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 employer: Curveanalytics
Contact Detail:
Curveanalytics Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Data & AI Platform Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the data and AI space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your cloud-based data solutions, Python projects, or any ETL processes you've developed. This will give potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge. Be ready to discuss your experience with cloud environments and how you've led teams in the past. Practice common interview questions related to data engineering to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for talented individuals like you. Keep an eye on our job listings and make sure your application stands out by tailoring it to the specific role.
We think you need these skills to ace Head of Data & AI Platform Engineering
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 our needs, and let your personality shine through!
Showcase Your Leadership Skills: Since this role involves managing a team, don’t forget to mention any leadership experiences you have. We want to see how you've mentored others or driven projects to success in your previous roles.
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 with our innovative team!
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! Prepare insightful questions about the company’s data strategy, team dynamics, and future projects. This shows your genuine interest and helps you assess if it’s the right fit for you.