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- Tasks: Lead a team to design and enhance data infrastructure for AI-driven analytics.
- Company: Join a leading AI Customer Service company with a focus on innovation.
- Benefits: Enjoy competitive salary, equity options, and flexible benefits.
- Why this job: Make a significant impact in the AI space while leading a talented team.
- Qualifications: 7+ years in data engineering with strong communication and technical skills.
- Other info: Flexible work environment with opportunities for professional growth.
The predicted salary is between 43200 - 72000 £ per year.
A leading AI Customer Service company is seeking a Senior Data Engineering Manager to lead a team in the development and maintenance of their data ecosystem. The role involves designing data infrastructure, enhancing data quality, and developing automation tools.
Ideal candidates will have over 7 years of experience in data engineering, excellent communication skills, and technical proficiency in tools like Apache Airflow and Snowflake.
This position offers competitive salary, equity, and flexible benefits.
Senior Data Platform Lead for AI-Driven Analytics (Equity) employer: Intercom
Contact Detail:
Intercom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Platform Lead for AI-Driven Analytics (Equity)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that Senior Data Platform Lead role.
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your experience with tools like Apache Airflow and Snowflake. This will help you stand out during interviews and demonstrate your technical proficiency.
✨Tip Number 3
Practice makes perfect! Conduct mock interviews with friends or use online platforms to refine your communication skills. Being able to articulate your thoughts clearly is crucial, especially for a leadership position.
✨Tip Number 4
Don't forget to apply through our website! We have a streamlined application process that makes it easy for you to showcase your talents and get noticed by hiring managers. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Platform Lead for AI-Driven Analytics (Equity)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and showcases your skills with tools like Apache Airflow and Snowflake. We want to see how your background aligns with the role, so don’t be shy about emphasising relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about AI-driven analytics and how your leadership experience can benefit our team. Keep it engaging and personal – we love to see your personality come through.
Showcase Your Communication Skills: Since excellent communication is key for this role, make sure your application reflects that. Use clear and concise language, and don’t hesitate to demonstrate how you’ve effectively communicated complex data concepts in past roles.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at Intercom
✨Know Your Data Tools
Make sure you brush up on your knowledge of Apache Airflow and Snowflake. Be ready to discuss how you've used these tools in past projects, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
As a Senior Data Platform Lead, you'll be leading a team. Prepare examples of how you've successfully managed teams in the past, focusing on your communication style and how you motivate others to achieve their best work.
✨Understand the Company’s Vision
Research the company’s approach to AI-driven analytics and customer service. Be prepared to discuss how your experience aligns with their goals and how you can contribute to enhancing their data ecosystem.
✨Prepare for Technical Questions
Expect technical questions that assess your problem-solving skills and understanding of data infrastructure. Practice explaining complex concepts in simple terms, as this will demonstrate your communication skills and technical proficiency.
