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For Companies At a Glance
- Tasks: Design and maintain data models, develop scalable data pipelines, and work with modern technologies.
- Company: A dynamic data-focused company based in London.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a growing team and make an impact in the data analytics field.
- Qualifications: Extensive experience in data analytics, strong SQL and Python skills required.
- Other info: Proactive role with opportunities for cloud infrastructure development.
The predicted salary is between 43200 - 72000 £ per year.
A data-focused company in London is seeking a highly skilled Lead Data Engineer to join their growing team. The ideal candidate will have extensive experience in data analytics, along with strong SQL and Python skills. In this hands-on role, you will design and maintain data models, develop data pipelines, and work with modern data warehousing technologies like Snowflake. The position requires a proactive approach and the ability to contribute quickly without extensive onboarding. Opportunities for cloud infrastructure development are also available.
Lead Data Engineer — Build Scalable Data Pipelines in City of London employer: 83zero Ltd
Contact Detail:
83zero Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer — Build Scalable Data Pipelines in City of 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 lookout for opportunities. You never know who might have a lead or can refer you to a hiring manager.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, models, and any projects you've worked on. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your SQL and Python skills, and be ready to discuss your experience with data warehousing technologies like Snowflake. Practice common interview questions to boost your confidence.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find the right role that matches your skills and aspirations. Plus, it shows you're serious about joining our team!
We think you need these skills to ace Lead Data Engineer — Build Scalable Data Pipelines in City of London
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with SQL and Python in your application. We want to see how you've used these skills in real-world scenarios, so don’t hold back on the details!
Tailor Your Application: Take a moment to customise your CV and cover letter for this role. Mention your experience with data models and pipelines, and how you’ve tackled challenges in previous projects. We love seeing candidates who take the time to connect their experience to what we do!
Be Proactive: Since we’re looking for someone who can hit the ground running, make sure to convey your proactive approach in your application. Share examples of how you’ve taken initiative in past roles or projects—this will really catch our eye!
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 team at StudySmarter!
How to prepare for a job interview at 83zero Ltd
✨Know Your Data Inside Out
Make sure you brush up on your data analytics skills and be ready to discuss your experience with SQL and Python. Prepare examples of how you've designed and maintained data models or developed data pipelines in the past.
✨Familiarise Yourself with Modern Technologies
Since the role involves working with technologies like Snowflake, it’s crucial to understand how they work. Do some research on best practices and be prepared to share your thoughts on how you would implement them in a real-world scenario.
✨Show Your Proactive Side
This position requires a proactive approach, so think of instances where you took the initiative in previous roles. Be ready to discuss how you can contribute quickly without extensive onboarding, showcasing your ability to hit the ground running.
✨Cloud Infrastructure Knowledge is Key
If there are opportunities for cloud infrastructure development, make sure you highlight any relevant experience you have. Discuss your familiarity with cloud platforms and how you’ve leveraged them in past projects to enhance data processing and storage.
