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- Tasks: Design and maintain robust data pipelines for a leading aviation company.
- Company: Join a top aviation firm in Greater London with a focus on innovation.
- Benefits: Earn up to £95,000 plus a 15% bonus, competitive pension, and generous leave.
- Other info: Enjoy hybrid working and excellent career growth opportunities.
- Why this job: Make an impact in the aviation industry while working with cutting-edge cloud technologies.
- Qualifications: Strong experience with AWS, Snowflake, and modern data processing practices.
The predicted salary is between 95000 - 95000 £ per year.
Lorien is seeking a Senior Data Engineer to join a leading aviation company in Greater London. This hands-on role involves designing and maintaining robust data pipelines, ensuring performance and availability of data products.
Required qualifications include:
- Strong experience with cloud technologies like AWS and Snowflake
- An understanding of modern data processing practices
The position offers hybrid working, a salary up to £95,000 plus a 15% bonus, competitive pension, and 25 days annual leave plus bank holidays.
Hybrid Senior Data Engineer — Scalable Cloud Pipelines employer: Lorien
Contact Detail:
Lorien Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Hybrid Senior Data Engineer — Scalable Cloud Pipelines
✨Tip Number 1
Network like a pro! Reach out to folks in the aviation industry or data engineering circles. LinkedIn is your best mate here—connect, engage, and don’t be shy to ask for informational chats.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your previous projects, especially those involving cloud technologies like AWS and Snowflake. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on modern data processing practices. Be ready to discuss how you've designed and maintained data pipelines in the past. We want to see your hands-on experience shine!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect with us directly.
We think you need these skills to ace Hybrid Senior Data Engineer — Scalable Cloud Pipelines
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with cloud technologies like AWS and Snowflake. We want to see how your skills align with the role, so don’t be shy about 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. Keep it concise but impactful – we love a good story!
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in data processing or pipeline design. We’re looking for hands-on experience, so share those success stories that demonstrate your expertise.
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 this exciting opportunity. Plus, it’s super easy!
How to prepare for a job interview at Lorien
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of AWS and Snowflake. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Pipeline Skills
Prepare to talk about your experience designing and maintaining data pipelines. Have examples ready that demonstrate your ability to ensure performance and availability of data products, as this is crucial for the role.
✨Understand Modern Data Processing
Familiarise yourself with current data processing practices. Be prepared to discuss trends in the industry and how they can be applied to improve data handling in the aviation sector.
✨Ask Insightful Questions
Think of questions that show your interest in the company and the role. Inquire about their current data challenges or future projects, which will demonstrate your enthusiasm and proactive mindset.