Trips Data Engineering II at Booking Holdings

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

22 Sep, 26

Salary

0.0

Posted On

24 Jun, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Sql, Python, Spark, Data Modelling, Data Pipeline Design, Distributed Data Processing, Data Quality, Production Monitoring, Data Architecture, Orchestration, Event-based Data Solutions, Streaming Data Solutions

Industry

technology;Information and Internet

Description

Data Engineer I Location: Bangalore About the company At Booking.com, data drives our decisions and technology is at our core. We use data to help everyone experience the world. Team intro The Data team builds the platforms, warehousing, enrichment, and machine learning capabilities that help teams across Booking.com understand business performance and improve the customer experience. We focus on products that advance data excellence and innovation across the business. We value a pragmatic approach, strong ownership, and a data-led way of working. About the role We are looking for a Data Engineer I to join our team and help build scalable, reliable, and well-governed data solutions that power analytics, operational decision-making, and reporting. This role is suited for an engineer who can own team-level delivery with some supervision and grow through hands-on execution. What you will do Design, build, and maintain moderately complex data systems and pipelines based on business requirements. Own delivery for team-level data solutions, including implementation, deployment, and production monitoring. Translate business needs into practical data models, architecture decisions, and data flow mappings. Build batch, streaming, and event-based data solutions that are scalable, reliable, and maintainable. Improve data quality, validation, observability, and operational reliability across owned data assets. Partner closely with teammates and stakeholders to make sure data is accurate, accessible, and useful. Support secure and compliant data handling practices in line with company standards. Responsibilities Technical delivery Deliver high-quality data pipelines and systems that are reliable, testable, and observable. Work with SQL, Python, and distributed data processing technologies such as Spark. Apply data modelling and architecture principles to support business-aligned data domains. Build reusable components and patterns where they improve consistency and maintainability. Contribute to the technical design of important team projects. Ownership and operations Take ownership of the systems and datasets you build. Support monitoring, alerting, troubleshooting, and incident response for production data workflows. Help improve data availability, schema checks, validation, and failure detection. Document systems, assumptions, and operational processes clearly. Follow governance, privacy, and compliance requirements across the data lifecycle. Collaboration and growth Work closely with engineers, analysts, product managers, and platform teams to deliver fit-for-purpose solutions. Communicate clearly and collaborate well within the team and with stakeholders. Seek support on complex problems and bring a strong learning mindset. Contribute to a culture of engineering quality, curiosity, and continuous improvement. What we’re looking for BSc or higher in Computer Science or a related field, or equivalent work experience. 2+ years of experience in data engineering or a closely related role. Hands-on experience with data pipelines, data modelling, and data quality practices. Solid skills in SQL and Python, plus familiarity with distributed processing tools such as Spark. Exposure to orchestration, monitoring, and production support for data systems. A pragmatic, detail-oriented approach with strong ownership and follow-through. Good communication and collaboration skills. A willingness to learn, take feedback, and grow into more complex technical work. How success looks in this role A successful Data Engineer I delivers production-ready data solutions with some supervision, communicates well within the team, and steadily grows toward greater independence in designing and operating data systems. Why join This role offers the opportunity to work on meaningful data problems at scale, contribute to products that directly support Booking.com’s mission, and grow within a team that values strong engineering craft, collaboration, and measurable business impact. Booking.com core values Think customer first Succeed together Own it Learn forever Do the right thing Sources JD Senior Data Engineer I - Bangalore Career Framework Data Engineering Co-authored with Glean Pre-Employment Screening If your application is successful, your personal data may be used for a pre-employment screening check by a third party as permitted by applicable law. Depending on the vacancy and applicable law, a pre-employment screening may include employment history, education and other information (such as media information) that may be necessary for determining your qualifications and suitability for the position.

Responsibilities

Design, build, and maintain scalable data pipelines and systems to support analytics and operational decision-making. Own the delivery, monitoring, and operational reliability of team-level data solutions.