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- Tasks: Lead a team to design and maintain a cutting-edge data ecosystem 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 tailored for you.
- Why this job: Make a significant impact in the AI space while developing your leadership skills.
- Qualifications: 7+ years in data engineering with strong communication and technical skills.
- Other info: Be part of a dynamic team with opportunities for growth and development.
The predicted salary is between 48000 - 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) in London 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) in London
✨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 hunt for a Senior Data Platform Lead role. 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 past projects, especially those involving Apache Airflow and Snowflake. This will give potential employers a clear view of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering scenarios. Think about how you would design data infrastructure or improve data quality. Practising these answers will help you stand out during the interview process.
✨Tip Number 4
Don't forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Senior Data Platform Lead for AI-Driven Analytics (Equity) in London
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. Let us know what excites you about this opportunity at StudySmarter.
Showcase Your Communication Skills: As a Senior Data Platform Lead, communication is key. In your application, demonstrate your ability to convey complex ideas clearly. Whether it’s through your CV or cover letter, we want to see how you can connect with both technical and non-technical audiences.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get all the latest updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at Intercom
✨Know Your Data Tools Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Apache Airflow and Snowflake. Be ready to discuss your experience with these technologies and how you've used them to enhance data quality or automate processes.
✨Showcase Your Leadership Skills
As a Senior Data Platform Lead, you'll need to demonstrate your ability to lead a team effectively. Prepare examples of how you've successfully managed teams in the past, focusing on your communication style and how you foster collaboration.
✨Prepare for Technical Questions
Expect to face technical questions that assess your problem-solving skills and understanding of data infrastructure. Brush up on common data engineering challenges and be ready to discuss how you would approach them in a real-world scenario.
✨Align with Company Values
Research the company’s mission and values, especially their focus on AI-driven analytics. Be prepared to explain how your personal values align with theirs and how you can contribute to their goals in the role.
