At a Glance
- Tasks: Design and implement large-scale data processing systems using cutting-edge technologies.
- Company: Join Cloudbeds, a leader in transforming hospitality with innovative software solutions.
- Benefits: Enjoy remote work, generous PTO, professional development, and corporate perks.
- Why this job: Be part of a collaborative team solving real-world challenges in the hospitality industry.
- Qualifications: Deep knowledge of data architecture, ETL pipelines, and distributed systems required.
- Other info: Work with a diverse, global team passionate about innovation and travel.
The predicted salary is between 36000 - 60000 £ per year.
At Cloudbeds, we are transforming hospitality with our intelligently designed platform that powers properties across 150 countries, processing billions in bookings annually. We help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners.
As a Senior Data Engineer, you will design and implement large-scale distributed data processing systems using technologies like Apache Hadoop, Spark, and Flink. You will build robust data pipelines and infrastructure that transform complex data into actionable insights, ensuring scalability and fault-tolerance across our platform.
You will architect data lakes, warehouses, and real-time streaming platforms while implementing security measures and optimizing performance. With your expertise in distributed computing, containerization (Docker, Kubernetes), and streaming technologies (Kafka, Confluent), you will drive innovation and evaluate new technologies to continuously improve our data ecosystem.
Our Data team thrives on solving data infrastructure challenges at scale, building resilient pipelines, optimizing performance, and architecting systems that enable everyone from analysts to executives to make smarter, faster decisions. We have a culture of deep trust and collaboration, where problem-solving is a shared mission.
What You Bring to the Team:
- Technical Expertise & Scalability Mindset: Deep knowledge of data architecture, ETL/ELT pipelines, and distributed systems.
- Problem-Solving & Ownership: A proactive approach to diagnosing issues and improving infrastructure.
- Code Quality & Best Practices: Strong skills in writing clean, maintainable code (e.g., in Python, SQL, or Scala).
- Collaboration & Mentorship: Ability to work cross-functionally and mentor junior team members.
- Data Governance & Reliability Focus: Responsibility for data accuracy, lineage, and security.
What Sets You Up for Success:
- Clear Business Context: Understanding the "why" behind data needs.
- Autonomy with Trust: Freedom to make technical decisions and explore solutions.
- Strong Team Collaboration: Sharing knowledge openly and valuing collective wins.
- Access to Quality Tooling & Infrastructure: Having modern tools and the ability to improve them.
- Supportive Leadership & Growth Mindset: Managers who advocate for your growth and create space for learning.
Bonus Skills to Stand Out (Optional):
- Leadership skills: guiding and mentoring junior members.
- Domain Knowledge: understanding of the hospitality industry.
- Data Architecture Expertise: designing robust, scalable architectures.
- Performance Optimization: optimizing data pipeline performance.
- Programming knowledge: essential knowledge of Python and SQL.
- Experience working with a remote-first and globally distributed team.
- Experience with CI/CD tooling, including GitHub Actions.
- Knowledge of Confluent and AWS.
Cloudbeds is proud to be an Equal Opportunity Employer that celebrates diversity in our global team. We do not discriminate based on race, religion, colour, national origin, gender, sexual orientation, gender identity, age, or other legally protected characteristics. We are committed to the full inclusion of all qualified individuals and will provide reasonable accommodations in the hiring process.
Senior Data Engineer (Remote) employer: Cloudbeds
Contact Detail:
Cloudbeds Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer (Remote)
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Apache Hadoop, Spark, and Flink. Having hands-on experience or projects showcasing your skills with these tools can set you apart during discussions.
✨Tip Number 2
Highlight your problem-solving abilities by preparing examples of past challenges you've faced in data engineering. Be ready to discuss how you approached these issues and the impact of your solutions on the overall project.
✨Tip Number 3
Emphasise your collaboration skills by sharing experiences where you worked cross-functionally with other teams. This is crucial for a role that values teamwork and mentorship, so be prepared to discuss how you’ve supported others in achieving common goals.
✨Tip Number 4
Research Cloudbeds' culture and values, particularly their focus on trust and collaboration. During your conversations, express how your personal values align with theirs and provide examples of how you foster a collaborative environment in your work.
We think you need these skills to ace Senior Data Engineer (Remote)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience and skills that align with the Senior Data Engineer role. Focus on your expertise in data architecture, ETL/ELT pipelines, and distributed systems, as well as any experience with technologies like Apache Hadoop, Spark, and Flink.
Craft a Compelling Cover Letter: In your cover letter, express your passion for transforming hospitality through technology. Mention specific projects or achievements that demonstrate your problem-solving skills and ownership of data infrastructure. Show how your values align with Cloudbeds' culture of collaboration and trust.
Showcase Technical Skills: Clearly outline your technical skills in your application. Include programming languages such as Python and SQL, as well as your experience with containerization (Docker, Kubernetes) and streaming technologies (Kafka, Confluent). Highlight any leadership or mentorship roles you've taken on.
Demonstrate Understanding of the Industry: If you have experience or knowledge of the hospitality industry, make sure to mention it. Explain how this understanding can enhance your ability to design effective data pipelines and contribute to Cloudbeds' mission of transforming hospitality.
How to prepare for a job interview at Cloudbeds
✨Showcase Your Technical Expertise
Be prepared to discuss your experience with data architecture, ETL/ELT pipelines, and distributed systems. Highlight specific projects where you've designed scalable solutions using technologies like Apache Hadoop, Spark, or Flink.
✨Demonstrate Problem-Solving Skills
Share examples of how you've proactively diagnosed issues and improved infrastructure in previous roles. Emphasise your ownership of projects from concept to production, showcasing your ability to tackle challenges head-on.
✨Emphasise Collaboration and Mentorship
Talk about your experience working cross-functionally with analysts, data scientists, and engineers. Mention any instances where you've mentored junior team members, as this aligns with the company's culture of collaboration.
✨Understand the Business Context
Familiarise yourself with the hospitality industry and the specific challenges faced by hoteliers. Being able to articulate the 'why' behind data needs will demonstrate your ability to design impactful solutions that align with the company's goals.