Latest job information from Klook for the position of Senior Data Engineer. If the Senior Data Engineer vacancy in Singapore matches your qualifications, please submit your latest application or CV directly through the updated Jobkos job portal.
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About Klook We are a leading pan-regional experiences platform in Asia Pacific, purpose built to digitalize experiences and make them accessible to every traveler. Our mission is to build the digital infrastructure for the global experience economy — empowering merchants to share their passions and travelers to discover the heartbeat of each destination. We operate a mobile-first, curated platform featuring diverse experiences across global destinations. Do you share our belief in the wonders of travel Global citizens ourselves, Klookers are not only curating memorable experiences for others but co-creating our world of joy within Klook. We work hard and play hard, upkeeping our high-performing culture as we are guided daily by our 6 core values: Customer First Push Boundaries Critical Thinking Build for Scale Less is More Win as One We never settle, and together, we believe in achieving greater heights and realizing endless possibilities ahead of us in the dynamic new era of travel. Care to be a part of this revolution Join us! Role Overview Role Title: Senior Data Engineer Function: Engineering Seniority Level: Mid-Senior level Employment Type: Full time We are seeking a Senior Data Engineer to join our dynamic team responsible for managing and scaling our Petabyte-level data platform. In this role, we are looking for a forward-thinking engineer who doesn't just build traditional pipelines but actively integrates Artificial Intelligence (AI) and LLM-driven automation into the data engineering lifecycle. As a key member of our team, you will leverage AI-augmented tools to design robust ETL pipelines, automate metadata management, and optimize system performance. The ideal candidate is an expert in dbt and big data technologies, with a proven track record of using AI-assisted development (AI coding assistants, automated agents, etc.) to dramatically increase engineering velocity and platform reliability. Responsibilities AI-Augmented Data Development AI-Driven Coding: Utilize AI programming assistants (e.g., GitHub Copilot, Cursor) and LLM-based agents to accelerate the development of high-quality ETL code, complex SQL queries, and dbt models. Automated Documentation: Implement AI-driven workflows to automatically generate and maintain data dictionaries, schema documentation, and lineage analysis for our PB-scale data assets. Intelligent Pipeline Automation & Ops AIOps & Observability: Build and maintain AI-powered monitoring systems for anomaly detection, automated alerting, and intelligent Root Cause Analysis (RCA) of pipeline failures. Self-Healing Data Flows: Explore and implement 'self-healing' mechanisms that can automatically identify and rectify commxon data skews or formatting issues without manual intervention. Smart Performance & Cost Optimization AI-Assisted Tuning: Leverage AI diagnostic tools to identify redundant computations and inefficient queries, implementing intelligent recommendations to optimize SQL performance and reduce cloud costs. Predictive Resource Scaling: Develop predictive models to forecast workload demands and dynamically adjust resource allocation across the data platform. Innovation & Team Advocacy Stay at the forefront of 'AI for Data Engineering' trends, evaluating and integrating emerging tools into our existing data stack. Champion AI-native development standards and best practices within the organization to foster a high-efficiency engineering culture. Requirements Core Experience: Minimum of 5 years in data engineering, with extensive experience managing production environments at Petabyte scale. AI Tooling Proficiency: Demonstrated experience in leveraging AI tools for development, automation, or system maintenance with measurable improvements in productivity. Technical Mastery: Proficiency in Python (critical for AI integration), Java, or Scala. Expertise in SQL and dbt for efficient data modeling and transformation. Big Data Stack: Deep experience with technologies such as Spark, Flink, or BigQuery. Engineering Excellence: Strong background in DataOps and CI/CD, with the ability to weave AI-driven steps into the deployment lifecycle. Analytical Mindset: Proven ability to conduct deep-dive root cause analysis and drive data-driven decision-making. Communication: Excellent communication skills to collaborate effectively across global teams; fluency in English and Mandarin is preferred. Benefits Competitive salary and benefits package. AI-Native Environment: Access to the latest AI-assisted development tools and subscriptions. Opportunities to lead the transition from traditional data engineering to AI-driven automation. Collaborative and inclusive work environment with a focus on professional growth. Klook is proud to be an equal opportunity employer. We hire talented and passionate people of all backgrounds. We believe that a joyful workplace is an inclusive workplace, one where employees from all walks of life have an equal opportunity to thrive. We're dedicated to creating a welcoming and supportive culture where everyone belongs. Klook does not accept unsolicited resumes from any temporary staffing agency, placement service or professional recruiter ('Agency'). Klook will not be responsible for, and will not pay, any fees, commissions or other payments related to such unsolicited resumes. An Agency must obtain advance written approval from Klook's Talent Acquisition Team to submit resumes, and then only in conjunction with a valid fully-executed agreement for service and in response to a specific job opening for which the Agency has been requested to submit resumes for. Klook will not be responsible for, and will not pay, any fees, commissions or other payments to any Agency that does not have such agreement in place or does not comply with the foregoing.
Job Info:
Company: Klook
Position: Senior Data Engineer
Work Location: Singapore
Country: SG
How to Submit an Application:
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