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- Tasks: Architect and manage a scalable data platform using cutting-edge tools.
- Company: Tech-driven commerce platform in Greater London with a supportive team culture.
- Benefits: Hybrid working, great benefits, and a collaborative environment.
- Why this job: Join a dynamic team and make a significant impact on data architecture.
- Qualifications: Strong background in Computer Science and autonomous work skills.
- Other info: Exciting opportunities for professional growth in a fast-paced industry.
The predicted salary is between 60000 - 80000 £ per year.
A tech-driven commerce platform in Greater London seeks a Lead Data Engineer to manage and evolve their comprehensive data platform. This role involves overseeing the architecture and scalability of the data warehouse, engaging deeply with tools like Snowflake and Dagster, and ensuring data quality. Candidates should have a strong background in Computer Science and the ability to operate autonomously. The position offers great benefits, including hybrid working and a supportive team culture.
Senior Data Engineer — Architect a Scalable Data Platform in London employer: Tilt
Contact Detail:
Tilt Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — Architect a Scalable Data Platform in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those who work at companies you're interested in. A friendly chat can open doors and give you insider info on job openings.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those involving Snowflake and Dagster. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common questions related to data engineering. Think about how you’d explain your experience with data architecture and scalability. Confidence is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities, and applying directly can sometimes give you an edge. Plus, we love seeing candidates who are proactive!
We think you need these skills to ace Senior Data Engineer — Architect a Scalable Data Platform in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data platforms and tools like Snowflake and Dagster. We want to see how your background in Computer Science aligns with the role, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. We love seeing candidates who can articulate their vision for a scalable data platform.
Showcase Your Autonomy: Since this role requires operating autonomously, share examples of when you've taken the lead on projects or solved complex problems independently. We appreciate candidates who can demonstrate initiative and self-motivation!
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 the role. Plus, it shows you’re keen to join our supportive team culture!
How to prepare for a job interview at Tilt
✨Know Your Tech Stack
Make sure you’re well-versed in the tools mentioned in the job description, like Snowflake and Dagster. Brush up on your knowledge of data warehousing concepts 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 overcame them. This role requires autonomy, so demonstrating your ability to tackle issues independently will impress the interviewers.
✨Understand the Company’s Vision
Research the tech-driven commerce platform and understand its mission and values. Being able to articulate how your skills align with their goals will show that you’re genuinely interested in the role and the company.
✨Ask Insightful Questions
Prepare thoughtful questions about the team culture and the future of the data platform. This not only shows your enthusiasm but also helps you gauge if the company is the right fit for you.