Data Engineer

About Klook

We are Asia’s leading platform for experiences and travel services, and we believe that we can help bring the world closer together through experiences.
 

Founded in 2014 by 3 avid travelers, Ethan Lin, Eric Gnock Fah and Bernie Xiong, Klook inspires and enables more moments of joy for travelers with over half a million curated quality experiences ranging from the biggest attractions to paragliding adventures, iconic museums to rich cultural tours, and other convenient local travel services across 2,700 destinations around the world.
 

Do you share our belief in the wonders of travel? Our international community of over 1,800 employees, based in 30+ locations, certainly do! Global citizens ourselves, Klookers are not only curating memorable experiences for others but also 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!

About the Role:

We’re seeking a skilled Data Engineer to join our team and own the end-to-end data pipeline, from ingestion to downstream delivery. You’ll manage marketing data (i.e.g, Facebook, Google, AppsFlyer etc), optimize internal data flows, and support a scalable data subscription service — all while ensuring cost efficiency and reliability in our data warehouse.

What you/ll do:

• Data Ingestion: Build and maintain pipelines for marketing platforms (Facebook, Google, AppsFlyer).
• Data Distribution: Manage subscription services and exports for downstream systems/users.
• Cost Optimization: Monitor and reduce data warehouse costs (e.g., BigQuery).
• dbt Ecosystem: Develop and maintain dbt models, ensuring CI/CD best practices.
• Observability: Implement monitoring for data quality, pipeline performance, and SLA adherence.
• Collaboration: Work with analytics engineers, marketers, and stakeholders to align data solutions with business needs.

What you’ll need::

• 3+ years in data engineering, with expertise in SQL, Spark, Python, and cloud data platforms (GCP/AWS/Azure). - Hands-on experience with dbt (modeling, testing, CI/CD).
• Experience with data orchestration tools (Airflow, Dagster).
• Familiarity with marketing APIs (Meta, Google Ads, AppsFlyer) and ETL/ELT tools.
• Knowledge of cost optimization strategies for data warehouses.
• Strong problem-solving skills and a focus on scalable, maintainable solutions.
• Understanding of data governance and metadata management.

Why Join?

• Impactful role with ownership over critical data infrastructure.
• Collaborative team driving data-driven decision-making.
• Opportunities to innovate and optimize at scale.

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.