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- Tasks: Lead the development of a cutting-edge data platform and ensure its reliability and scalability.
- Company: Dynamic tech firm in Greater London with a mission-driven team.
- Benefits: 29 days off, share options, and a tech budget for your projects.
- Why this job: Join a team redefining online commerce and make a real impact.
- Qualifications: Strong technical background in data engineering and data modelling.
- Other info: Enjoy working autonomously in a fast-paced environment.
The predicted salary is between 48000 - 72000 £ per year.
A dynamic technology firm in Greater London is seeking a Lead Data Engineer to take charge of their end-to-end data platform. This hands-on role involves ensuring the architecture, reliability, and scalability of data systems using tools like Snowflake and dbt. Candidates should have a strong technical background, a deep understanding of data modelling, and enjoy working autonomously.
Benefits include:
- 29 days off
- Share options
- Tech budget
Join a mission-driven team focusing on redefining online commerce.
Lead Data Engineer — Scale an AI-Ready Data Platform employer: Sequel
Contact Detail:
Sequel Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer — Scale an AI-Ready Data Platform
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data platforms and tools like Snowflake and dbt. This will give you an edge and demonstrate your hands-on experience to potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to data engineering. Practice explaining your thought process and problem-solving approach, as this will help you stand out during the interview.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're genuinely interested in joining our mission-driven team.
We think you need these skills to ace Lead Data Engineer — Scale an AI-Ready Data Platform
Some tips for your application 🫡
Show Off Your Technical Skills: Make sure to highlight your experience with tools like Snowflake and dbt in your application. We want to see how your technical background aligns with the role, so don’t hold back on showcasing your data modelling expertise!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to connect their experiences to what we’re looking for in a Lead Data Engineer. It shows us you’re genuinely interested!
Be Yourself: We value authenticity, so let your personality shine through in your written application. Share your passion for data engineering and how you enjoy working autonomously. This helps us get to know the real you!
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Sequel
✨Know Your Tech Inside Out
Make sure you’re well-versed in the tools mentioned in the job description, like Snowflake and dbt. Brush up on your data modelling skills and be ready to discuss how you've used these technologies in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of challenges you've faced in data engineering and how you tackled them. This role is hands-on, so demonstrating your ability to think critically and solve problems will impress the interviewers.
✨Understand the Company’s Mission
Research the company’s focus on redefining online commerce. Be ready to discuss how your experience aligns with their mission and how you can contribute to their goals as a Lead Data Engineer.
✨Ask Insightful Questions
Prepare thoughtful questions about the team dynamics, the tech stack, and future projects. This shows your genuine interest in the role and helps you gauge if the company culture is the right fit for you.