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- Tasks: Build scalable data pipelines and collaborate with teams to enhance AI features.
- Company: Fast-growing property management platform with a focus on innovation.
- Benefits: Competitive pay, stock options, and fully remote work.
- Why this job: Shape the future of property management with AI-driven solutions.
- Qualifications: Expertise in data engineering, SQL, and automation tools like Airflow.
- Other info: Join a dynamic team and make a real impact in a thriving industry.
The predicted salary is between 36000 - 60000 £ per year.
A fast-growing property management platform is seeking a Senior Data Engineer to develop robust and scalable data pipelines within their AI Team. This fully remote role requires strong collaboration across teams and expertise in data engineering, SQL, and automation tools like Airflow. Join this innovative company to shape AI-powered features that enhance how property managers and guests interact with the platform. Competitive compensation and valuable stock options are included.
Senior Data Engineer, AI Platform (Remote) – EMEA employer: Hostaway
Contact Detail:
Hostaway Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer, AI Platform (Remote) – EMEA
✨Tip Number 1
Network like a pro! Reach out to current employees on LinkedIn or join relevant online communities. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio or case studies showcasing your data engineering projects. We want to see how you’ve tackled challenges with SQL and automation tools like Airflow.
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on your data pipeline knowledge and problem-solving skills. We recommend mock interviews to boost your confidence.
✨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 genuinely interested in joining our innovative team.
We think you need these skills to ace Senior Data Engineer, AI Platform (Remote) – EMEA
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data engineering, SQL, and automation tools like Airflow. We want to see how your skills can help us build those robust and scalable data pipelines!
Tailor Your Application: Don’t just send a generic CV! Customise your application to reflect how your background aligns with the role. We love seeing candidates who take the time to connect their experience with what we’re looking for.
Be Clear and Concise: When writing your application, keep it straightforward. We appreciate clarity, so make sure your points are easy to read and get straight to the heart of your experience and achievements.
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Hostaway
✨Know Your Data Engineering Stuff
Make sure you brush up on your data engineering skills, especially SQL and automation tools like Airflow. Be ready to discuss your past projects and how you've built scalable data pipelines. This will show them you're not just familiar with the tech but can also apply it effectively.
✨Show Off Your Collaboration Skills
Since this role involves working closely with different teams, be prepared to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects you've been part of and how you navigated challenges together.
✨Understand Their AI Vision
Take some time to research the company's AI initiatives and how they enhance property management. Being able to discuss their AI-powered features and suggest ideas or improvements will demonstrate your genuine interest in the role and the company.
✨Ask Smart Questions
Prepare thoughtful questions that show your enthusiasm for the position and the company. Inquire about their data strategy, team dynamics, or future projects. This not only helps you gauge if it's the right fit but also leaves a positive impression on the interviewers.
