Staff Data Engineer
Quick Summary
observability (logging/metrics/tracing), alerting, incident response support, root-cause analysis, and prevention actions. Improve reliability and scalability through performance tuning,
inline" data-streamdown="list-item"> 7+ years of experience in software and data engineering . p]:inline" data-streamdown="list-item"> Expert-level Apache Spark knowledge (design, tuning, debugging).
At Agoda, we bridge the world through travel. Our story began in 2005, when two lifelong friends and entrepreneurs, driven by their passion for travel, launched Agoda to make it easier for everyone to explore the world.
Today, we are part of Booking Holdings [NASDAQ: BKNG], with a diverse team of over 7,000 people from 90 countries, working together in offices around the globe. Every day, we connect people to destinations and experiences, with our great deals across our millions of hotels and holiday properties, flights, and experiences worldwide.
No two days are the same at Agoda. Data and technology are at the heart of our culture, fueling our curiosity and innovation. If you’re ready to begin your best journey and help build travel for the world, join us.
Agoda
Staff Data Engineer
About the team: The Data department at Agoda enables data-driven decision making across the company by building operational and analytical databases, queue systems, BI tools, and data science infrastructure. The Data Core Apps team operates large-scale systems spanning multiple data centers, handling millions of writes per second and tens of petabytes of data. We focus on real-time ingestion, replication, enrichment, storage and analytics — pushing big-data technologies to the edge.
Full-time
Level 22, 8 Chifley Square, Sydney NSW, 2000
Responsibilities
~1 min read- →Design and develop software services and platform components (including APIs and backend services) supporting data and metadata workflows.
- →Own end-to-end delivery of medium-to-large initiatives across teams, including design, implementation, testing, rollout, and operational readiness.
- →Build and maintain data/metadata integrations and pipelines (e.g., ingestion, connector development, scheduling, monitoring and failure handling).
- →Drive system design and architecture decisions, document trade-offs, and participate in cross-team design/architecture reviews.
- →Ensure operational excellence: observability (logging/metrics/tracing), alerting, incident response support, root-cause analysis, and prevention actions.
- →Improve reliability and scalability through performance tuning, capacity planning, and high-availability patterns.
- →Establish engineering standards for code quality, testing strategies, and release safety; perform high-quality code reviews.
- →Mentor engineers and enable other team members through knowledge transfer, documentation, and pairing.
Requirements
~1 min read- p]:inline" data-streamdown="list-item">7+ years of experience in software and data engineering.
- p]:inline" data-streamdown="list-item">Expert-level Apache Spark knowledge (design, tuning, debugging).
- p]:inline" data-streamdown="list-item">Expert-level JVM understanding and proficiency in Java or Scala.
- p]:inline" data-streamdown="list-item">Strong SQL skills.
- p]:inline" data-streamdown="list-item">Familiarity with Python for tooling and scripting.
- p]:inline" data-streamdown="list-item">Experience with Linux systems administration.
- p]:inline" data-streamdown="list-item">Experience debugging and reasoning about production issues in distributed systems.
- p]:inline" data-streamdown="list-item">Good understanding of data architecture principles.
- p]:inline" data-streamdown="list-item">Experience with Big Data ecosystems and tools (Hadoop, S3, Kafka, etc.).
- p]:inline" data-streamdown="list-item">Analytical problem-solving capabilities.
- Experience working in Data Infrastructure or Data Platform teams.
- Contributions or experience with open-source products.
- Experience with Kubeflow, data lineage, data quality systems, or ETL tooling.
- Previous work at scale (multi-datacenter, multi-PB environments).
- Posting date: 2026-03-17
- Agoda Careers https://careersatagoda.com
- Facebook https://www.facebook.com/agodacareers/
- LinkedIn https://www.linkedin.com/company/agoda
- YouTube https://www.youtube.com/agodalife
At Agoda, we pride ourselves on being a company represented by people of all different backgrounds and orientations. We prioritize attracting diverse talent and cultivating an inclusive environment that encourages collaboration and innovation. Employment at Agoda is based solely on a person’s merit and qualifications. We are committed to providing equal employment opportunity regardless of sex, age, race, color, national origin, religion, marital status, pregnancy, sexual orientation, gender identity, disability, citizenship, veteran or military status, and other legally protected characteristics.
We will keep your application on file so that we can consider you for future vacancies and you can always ask to have your details removed from the file. For more details please read our privacy policy.
We do not accept any terms or conditions, nor do we recognize any agency’s representation of a candidate, from unsolicited third-party or agency submissions. If we receive unsolicited or speculative CVs, we reserve the right to contact and hire the candidate directly without any obligation to pay a recruitment fee.
Listing Details
- Posted
- March 30, 2026
- First seen
- March 26, 2026
- Last seen
- April 14, 2026
Posting Health
- Days active
- 18
- Repost count
- 0
- Trust Level
- 49%
- Scored at
- April 14, 2026
Signal breakdown
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