# Data Engineer II at Booking.com

Booking.com is hiring a Data Engineer II in Bengaluru, India. Level rates it Little AI ●○○○; you can [apply on Booking.com](https://jobsbylevel.com/go/ac78eb0c-a634-416f-a535-851778ca9d25?utm_medium=ai-agent).

AI Level 1, AI centrality 35 out of 100. Bangalore, India.

## Details

- Company: [Booking.com](https://jobsbylevel.com/companies/booking-com)
- AI level: AI Level 1 (score 35 out of 100)
- Location: Bangalore, India
- Posted: October 9, 2026
- Apply: https://jobsbylevel.com/go/ac78eb0c-a634-416f-a535-851778ca9d25?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-engineer-ii-at-booking-com-94f8c9

## Description

Data Engineer II, Trips Data Marketing Role overview We are looking for a Data Engineer II to join the Trips Data Marketing area and help build reliable, scalable data products that enable better decision-making across the Connected Trip. This role sits at the intersection of data engineering, data modelling, governance, and stakeholder delivery , with a strong focus on improving trusted data availability, standardisation, and operational efficiency for marketing and cross-functional teams. You will design and build data pipelines, scalable data models, and quality controls that make marketing and Trips data easier to access, trust, and use. The team's broader mission includes enabling compliant and standardised data, embedding privacy and governance by design, and reducing manual fragmentation in how data is delivered to consumers. As a Data Engineer II, you will independently own technical deliverables, contribute to the design of reusable data solutions, and collaborate across teams to improve the reliability, consistency, and usability of our data products. What you'll do Design, build, and maintain batch and/or streaming data pipelines that power Trips data products for marketing and adjacent business domains. Design and implement scalable conceptual, logical, and physical data models that support reporting, analytics, stakeholder self-service, and operational decision-making, ensuring consistency, reusability, and maintainability. Improve the reliability, observability, and quality of data assets through monitoring, testing, validation, and incident resolution. Partner with product managers, analysts, FP&A, marketers, and engineering teams to translate business requirements into scalable technical solutions and robust data models. Standardise data definitions, schemas, and delivery mechanisms across teams to improve consistency and reduce duplication. Support governance and privacy-by-design practices by embedding data quality controls, documentation, metadata, and compliance-minded ways of working throughout the data lifecycle. Improve developer and stakeholder experience by simplifying workflows, strengthening documentation, and promoting reusable data engineering patterns across teams. Optimize data pipelines and data models for performance, scalability, cost efficiency, and maintainability. Contribute to technical discussions, solution design, delivery planning, and cross-team collaboration for shared Trips Data initiatives. Support operational excellence by participating in incident resolution, root cause analysis, and continuous improvement of data pipeline reliability. What success looks like Data pipelines and assets are dependable, well-monitored, scalable, and easy to maintain. Scalable, well-governed data models enable consistent reporting and analytics across teams while reducing duplication and improving data reuse. Stakeholders have faster access to trusted, standardised datasets for decision-making. Manual handoffs and fragmented delivery processes are reduced through reusable data products and standardized practices. Data quality issues are surfaced early and resolved systematically through testing, monitoring, and observability. Governance, privacy, and operational standards are embedded into delivery from the outset. Data products are adopted by multiple teams and contribute to improved business outcomes and operational efficiency. What we're looking for Solid 5+ experience in data engineering, analytics engineering, or software engineering with a strong data focus. Proficiency in SQL and at least one general-purpose programming language such as Python, Java, or Scala. Hands-on experience building and operating production-grade batch and/or streaming data pipelines. Strong understanding of dimensional and analytical data modelling principles, including designing conceptual, logical, and physical data models. Experience designing and evolving data models that balance business requirements with

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-engineer-ii-at-booking-com-94f8c9

Source: https://jobsbylevel.com/jobs/data-engineer-ii-at-booking-com-94f8c9

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Level. https://jobsbylevel.com/jobs/data-engineer-ii-at-booking-com-94f8c9.

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