Role Description:
About Us: At Booking.com, data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make. Through our products, partners and people, we make it easier for everyone to experience the world.
Role: Data Engineers are responsible for the development, performance, quality, and scaling of Booking’s data pipelines, with a special focus on data quality. In this role, you will innovate and operationalize data pipelines in a modern cloud environment (e.g., AWS, Snowflake), automate workflows (Dagster-centric), manage infrastructure as code (Terraform), and establish robust, auditable CI/CD practices. You’ll partner closely with Data Engineering, FP&A Reporting and analytics teams to deliver timely, reliable, and secure data solutions critical for regulatory (SOx) and business reporting.

QUALIFICATIONS & SKILLS:

• Bachelor degree or equivalent
• 1 - 3 years experience in similar role
• Software Systems Design
• Evaluate possible architecture solutions by taking into account cost, business requirements, technology requirements and emerging technologies
• Describe the implications of changing an existing system or adding a new system to a specific area, by having a broad, high-level understanding of the infrastructure and architecture of our systems
• Help grow the business and/or accelerate software development by applying engineering techniques (e.g. prototyping, spiking and vendor evaluation) and standards
• Meet business needs by designing solutions that meet current requirements and are adaptable for future enhancements
• Critical Thinking
• Find solutions to difficult or complex issues by applying different skills and techniques like analytical thinking, lateral thinking, and logical reasoning
• Constructively improve existing ideas, plans and solutions by reviewing them in a critical yet constructive manner, initiating concrete improvements and articulating their rationale
• Continuous Quality and Process Improvement
• Identify opportunities for process, system and/or structural improvements, by applying an understanding of process flows and the methods that can be used to boost effectiveness and efficiency
• End to End System Ownership
• Own a service end to end by actively monitoring application health and performance, setting and monitoring relevant metrics and act accordingly when violated
• Reduce business continuity risks and bus factor by applying state-of-the-art practices and tools, and writing the appropriate documentation such as runbooks and OpDocs
• Reduce risk and obtain customer feedback by using continuous delivery and experimentation frameworks
• Independently manage an application or service by working through deployment and operations in production
• Effective Communication
• Deliver clear, well-structured, and meaningful information to a target audience by using suitable communication mediums and language tailored to the audience
• Achieve mutually agreeable solutions by staying adaptable, communicating ideas in clear coherent language and practicing active listening
• Ask relevant (follow-up) questions to properly engage with the speaker and really understand what they are saying, by applying listening and reflection techniques
• Technical Stack Qualifications
• 1-3 years of experience with data at scale, using Kafka, Spark, Hadoop/YARN, MySQL, Airflow, Snowflake, S3 and Kubernetes
• Solid working experience working with Data engineering platforms involving PySpark, Python or other equivalent scripting languages
• Proven experience building data pipeline solutions based on public cloud providers such as Snowflake, AWS

KEY JOB RESPONSIBILITIES AND DUTIES:

• Rapidly developing next-generation scalable, flexible, and high-performance data pipelines;
• Solving issues with data and data pipelines, prioritizing based on customer impact, and building solutions that prevent them from happening again (root cause);
• End-to-end ownership of data quality in our core datasets and data pipelines;
• Experimenting with new tools and technologies to meet business requirements regarding performance, scaling, and data quality;
• Providing tools that enhance Data Quality company wide;
• Developing integrations between multiple applications and services, both on premise and in the cloud;
• Contributing to self-organizing tools that help the analytics community discover data, assess quality, explore usage, and find peers with relevant expertise;
• Building effective monitoring of data, and jumping in to handle outages.
• Responsible for technical implementation and maintenance of data processing services and storage systems in line with the Data Governance Framework.
• Lead root cause investigations, incident response, and postmortem documentation for reliability and process improvement.

THIS ROLE DOES NOT COME WITH RELOCATION ASSISTANCE.

Booking.com is proud to be an equal opportunity workplace and is an affirmative action employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. We strive to move well beyond traditional equal opportunity and work to create an environment that allows everyone to thrive