Platform Engineer, Data & AI Pipelines

Wego; Jakarta Pusat; On-site; IDR 400,000,000 - 600,000,000; Full time

Job summary

Wego is expanding its Data Analytics & Data Science team to build and operate ingestion systems and runtime infrastructure for analytics, data science, and AI tools across Flights and Hotels products. You will own pipelines from source to consumption, ensure reliable data movement, and collaborate with analysts and engineers to optimize data flow.

You will run pipelines on Kubernetes and cloud infrastructure, implement robust data quality practices, and contribute to AI tool integrations with

Qualifications

• 3–8 years of experience in data engineering, platform engineering or related infrastructure work.
• Experience owning ingestion systems in production, including failures, recovery and source schema changes.
• Hands-on experience operating Kubernetes workloads and cloud infrastructure.
• Experience with DevOps practices, automated deployments and infrastructure as code.
• Fluency in Python and SQL, with practical Linux, networking and container skills.
• Experience with APIs, databases and event systems, including batch or streaming ingestion.
• Understanding of delivery guarantees, idempotency and schema compatibility, and how they affect downstream data.
• Experience with Kubernetes and container tooling such as Docker and Helm.
• Experience with a cloud platform such as Google Cloud Platform or AWS, and infrastructure tools such as Terraform.
• Practical knowledge of CI/CD, monitoring, alerting and incident diagnosis.
• Ability to build AI assistants and agents (tool calling, agent loops, context and memory, retrieval, guardrails) and evaluate them with test sets and regression checks
• You spot worthwhile problems without waiting to be assigned, validate why they matter and own the solution through to measurable impact
• You align priorities with stakeholders, then work independently through ambiguity and missing context

Responsibilities

• Build and operate ingestion pipelines and runtime infrastructure for analytics, data science and AI tooling.
• Run pipelines and services on Kubernetes and cloud infrastructure with repeatable environments and safe release paths.
• Develop systems enabling AI assistants and agents to use data and APIs reliably with clear access boundaries.
• Improve reliability and control cloud costs against service goals.
• Identify sources of data loss and operational toil; validate impact and own fixes end-to-end.
• Collaborate with analysts, data scientists and engineers to optimize data movement and quality.
• Design retries, deduplication, backfills and data freshness monitoring from source to consumer.

Skills

Data engineering

Kubernetes

Python

SQL

Cloud platforms

Terraform

CI/CD

DevOps practices

Networking basics

Docker

Helm

Tools

Kubernetes

Docker

Helm

Terraform

Google Cloud Platform

AWS

Job description

Wego is expanding its Data Analytics & Data Science team to build and operate ingestion systems and runtime infrastructure for analytics, data science, and AI tools across Flights and Hotels products. You will own pipelines from source to consumption, ensure reliable data movement, and collaborate with analysts and engineers to optimize data flow.

You will run pipelines on Kubernetes and cloud infrastructure, implement robust data quality practices, and contribute to AI tool integrations with