Software Engineer II - Data

Wati; Hong Kong; On-site; HKD 450,000 - 750,000; Full time

Benefits offered by this job

ML/AI model integration

Data governance and security practices

BI tools familiarity (Tableau/Looker/​

Job summary

Wati is seeking a Data Backend Engineer to join our China team and strengthen our data infrastructure. You will work on large-scale data systems to enable insights and analytics across our platform.

Role requires 2–4 years of backend/data engineering experience and strong skills in Python, Java, or Go, plus SQL/NoSQL expertise. Collaboration with product and analytics teams is key to delivering data-driven features.

Qualifications

• Bachelor's or Master's in Computer Science, Data Engineering, or related field.
• 2–4 years of backend/data engineering experience.
• Proficiency in Python, Java, or Go.
• Hands-on experience with SQL and NoSQL databases (MongoDB, PostgreSQL, BigQuery).
• Familiarity with ETL pipelines, data warehousing, and streaming frameworks (Kafka, Spark, Flink).
• Understanding of cloud-based data infrastructure (GCP, AWS, or Azure).

Responsibilities

• Build and maintain scalable data pipelines and backend services.
• Design and optimize data storage solutions (structured and unstructured).
• Collaborate with product and analytics teams to deliver data-driven features.
• Ensure data quality, availability, and performance at scale.
• Integrate with third-party APIs and tools for reporting and analytics.

Skills

Python

Java

Go

SQL

NoSQL

ETL

Data warehousing

Kafka

Spark

Flink

Cloud platforms

BigQuery

Education

Bachelor's or Master's in CS or related field

Tools

MongoDB

PostgreSQL

BigQuery

Tableau

Looker

Metabase

Job description

Wati is the world's leading WhatsApp-first conversational growth platform, empowering businesses to build deeper customer relationships and accelerate revenue growth. Trusted and loved by over 14,000 customers across 100+ countries, Wati has established itself as the premier choice for businesses leveraging WhatsApp and other messaging channels to connect with customers on their platform of choice. In a world where real-time interactions drive growth, Wati's story is all about business growth through conversations.

At Wati, we believe that every conversation matters, whether it's engaging a first-time prospect, nurturing a qualified lead, and deepening relationships with loyal clients. We transform these conversations into opportunities for building relationships, and strong relationships lead to increased revenue.

Our Platform

The AI-native platform simplifies complex business operations by bringing all customer interactions under one intelligent roof. Designed for scalability and ease of use, our solution delivers a measurable ROI while adapting to businesses of all sizes, from emerging startups to established enterprises.

Our Backing & Partnerships

Wati is proudly backed by world-class investors including Tiger Global, Sequoia Capital, DST Global, and Shopify. As a Premier-tier Partner of Meta, Google, and WhatsApp, we maintain the highest standards of integration and platform excellence.

About The Role

We're looking for a Data Backend Engineer to join our China team and strengthen Wati's data infrastructure. This role is ideal for someone who loves working with large-scale data systems, enabling insights, analytics, and intelligent decision-making across our platform.

What You’ll Do

• Build and maintain scalable data pipelines and backend services
• Design and optimize data storage solutions (structured and unstructured)
• Collaborate with product and analytics teams to deliver data-driven features
• Ensure data quality, availability, and performance at scale
• Integrate with third-party APIs and tools for reporting and analytics

Requirements

• Bachelor's or Master's degree in Computer Science, Data Engineering, or related field
• 2-4 years of experience in backend/data engineering
• Strong skills in Python, Java, or Go
• Hands-on experience with SQL and NoSQL databases (MongoDB, PostgreSQL, BigQuery)
• Familiarity with ETL pipelines, data warehousing, and streaming frameworks (Kafka, Spark, Flink)
• Understanding of cloud-based data infrastructure (GCP, AWS, or Azure)

Benefits

• Experience with ML/AI model integration
• Knowledge of data governance and security practices
• Familiarity with BI tools (Tableau, Looker, Metabase)