Data Engineer
Role details
Job location
Tech stack
Job description
Our platform processes over 600 million events daily and manages multiple petabytes of data, while ensuring that the data is accessible, reliable, and efficient to query for all teams. We provide robust, scalable solutions for real-time clickstream ingestion, cost-efficient data lake management, and seamless ETL pipeline development-making it easy for analysts, BI engineers, and developers to work with data at scale. We work with a modern tech stack, including Apache Airflow, DBT, Databricks, Kafka, and Spark, while fostering a culture of learning and collaboration. Joining our team means tackling complex technical challenges, driving impact across GetYourGuide, and continuously growing your skills in a supportive environment., * Design, build, and evolve our core data and analytics platform, enabling seamless scaling to multiple petabytes of data.
- Optimize and enhance our real-time clickstream data pipelines, collaborating closely with data scientists, engineers, and product managers to unlock new business value.
- Expand and maintain our change data capture (CDC) solutions, ensuring timely and reliable data mirroring to the data lake.
- Ensure system performance, reliability, and stability by proactively monitoring, maintaining, and upgrading our platform to consistently meet or exceed SLOs.
- Safeguard our data lake by keeping it secure, compliant, and cost-effective, while supporting a growing variety of use cases across the company.
Requirements
- 3+ years of experience as a Data Engineer or Software Engineer, working with large-scale distributed systems.
- Proven experience designing, developing, and maintaining scalable data platforms or backend systems.
- Strong programming skills in Scala or Java.
- Hands-on experience with big data frameworks such as Apache Spark and backend frameworks like Spring Boot.
- Ability to write efficient, maintainable, and well-tested code, with a focus on scalability and reliability.
- Strong analytical mindset, using data to guide technical decisions and solve complex problems.
Benefits & conditions
- Annual personal growth budget and mentorship programs for continuous learning and development
- Work from anywhere in the world for 40 days per year
- Flexible working arrangements to support work-life balance
- Opportunities to collaborate and socialize with team members through quarterly team events and yearly company-wide events
- Monthly transportation and fitness budget
- Discounts for you, your friends, and family on GetYourGuide activities
- Language reimbursement program
- Health and wellness benefits
And more…