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About the Role

The Messaging & Rewards area within Growth Marketing is responsible for delivering timely, relevant, and measurable customer communications and incentives. As a Data Engineer, you will help build the data foundation that powers these use cases across various channels, focusing on creating reliable, scalable, and well-governed data pipelines and datasets.

Responsibilities

• Develop, maintain, and scale data pipelines with a focus on data quality.
• Make technical decisions within the team.
• Rapidly develop next-generation scalable, flexible, and high-performance data pipelines.
• Solve data and data pipeline issues, prioritizing based on customer impact.
• Own data quality end-to-end in core datasets and data pipelines.
• Experiment with new tools and technologies to drive innovative engineering solutions.
• Provide tools that improve data quality company-wide.
• Provide self-organizing tools to help the analytics community discover, assess, and explore data.
• Serve as the main point of contact for technical and business stakeholders regarding data engineering issues.
• Acquire technical, behavioral, and interpersonal competence advancement through various opportunities.

Requirements

• 3–5 years of relevant professional experience as a Data Engineer, Software Engineer, or similar data-focused role.
• Proven knowledge of Python.
• Hands-on experience building and operating production-grade data pipelines and data processing systems in cloud and hybrid environments.
• Experience designing systems end-to-end.
• Solid understanding of architecture fundamentals such as APIs, distributed systems, storage, caching, data modeling, and system reliability.
• Practical experience with modern data and orchestration technologies such as Spark, Kafka, Airflow, Snowflake, DBT, CDC patterns, cloud storage, and related data engineering tools.
• Experience working with data warehousing and ETL/ELT pipelines.
• Comfortable owning data products and services in production, including monitoring, incident response, root cause analysis, documentation, and on-call support.
• Ability to balance business needs, technical constraints, and long-term maintainability.
• Actively look for opportunities to improve process efficiency, platform quality, and engineering standards.
• Excellent communication skills; ability to work effectively with developers, product managers, ML scientists, and ML engineers.
• Ability to translate requirements into robust technical solutions that enable high-quality data products.

Skills

• Python
• Java
• Scala
• Spark
• Kafka
• Airflow
• Snowflake
• DBT
• CDC patterns
• Cloud storage
• Data modeling
• System reliability
• Data warehousing
• ETL/ELT pipelines
• Communication skills

Location

• Remote

Work Type

• Hybrid working
• Flexible working arrangements

Experience Level

• 3-5 years

Education Level

• Master’s degree in a quantitative field

Benefits

• Competitive compensation and benefits package
• Annual paid time off
• Generous paid leave scheme (parent, grandparent, bereavement, care leave)
• Up to 20 days per year working from abroad (home country)
• Industry leading product discounts (up to 1400 per year)
• Automatic Genius Level 3 status
• Booking.com wallet credit

About the Company

• At Booking.com, data drives decisions, technology is at the core, and innovation is everywhere.
• The company makes it easier for everyone to experience the world through its products, partners, and people.

Equal Opportunity

• 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.
• The company strives to create an environment that allows everyone to thrive.
• Colleagues with disabilities are provided the adjustments and tools they need to participate in the job application and interview process, to perform crucial job functions, and to receive other benefits and privileges of employment.