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- Tasks: Design and maintain scalable ETL pipelines while optimising data systems.
- Company: Transformative hospitality company with a collaborative engineering culture.
- Benefits: Hybrid work policy, competitive salary, and opportunities for professional growth.
- Why this job: Join a dynamic team and make an impact in the hospitality industry.
- Qualifications: Strong coding skills in TypeScript and SQL, plus AWS experience.
- Other info: Work two days in the office and enjoy a vibrant team atmosphere.
The predicted salary is between 36000 - 60000 £ per year.
A transformative company in hospitality is looking for a Data Engineer to join their team in Greater London. The role involves designing and maintaining scalable ETL pipelines, optimising data systems, and ensuring data integrity for their SaaS platform.
Candidates should have strong coding skills in TypeScript and SQL, experience with AWS, and a proven track record in technical projects.
The position offers a hybrid work policy with two days in the office, focused on a collaborative engineering culture.
Data Engineer – ETL & Real-Time Pipelines (Hybrid) employer: Openr
Contact Detail:
Openr Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer – ETL & Real-Time Pipelines (Hybrid)
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or other platforms. A friendly chat can give you insider info and might even lead to a referral.
✨Tip Number 2
Show off your skills! Prepare a portfolio or GitHub repository showcasing your ETL projects, especially those using TypeScript and SQL. This will help you stand out during interviews.
✨Tip Number 3
Practice makes perfect! Brush up on your coding skills and be ready for technical assessments. Use platforms like LeetCode or HackerRank to sharpen your problem-solving abilities.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data Engineer – ETL & Real-Time Pipelines (Hybrid)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with ETL pipelines and data systems. We want to see your coding skills in TypeScript and SQL shine through, so don’t hold back on those technical projects you've tackled!
Craft a Compelling Cover Letter: Your cover letter is your chance to show us your passion for data engineering. Share why you're excited about the role and how your background aligns with our needs in the hospitality sector. Keep it engaging and personal!
Showcase Your Projects: If you’ve worked on any relevant projects, make sure to mention them! We love seeing real-world applications of your skills, especially if they involve AWS or scalable data solutions. It gives us a glimpse into your problem-solving abilities.
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’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Openr
✨Know Your Tech Inside Out
Make sure you brush up on your TypeScript and SQL skills before the interview. Be ready to discuss your previous projects in detail, especially those involving ETL pipelines and AWS. This will show that you not only understand the theory but can also apply it practically.
✨Showcase Your Problem-Solving Skills
Prepare to tackle some technical challenges during the interview. Think about how you would optimise data systems or ensure data integrity. Practising common data engineering problems can help you articulate your thought process clearly.
✨Emphasise Collaboration
Since the role focuses on a collaborative engineering culture, be prepared to discuss how you've worked in teams before. Share examples of how you’ve contributed to team projects and how you handle feedback and collaboration with others.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s approach to data engineering, their tech stack, or how they foster collaboration within the team. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.