The Role
Develop and scale Lalamove’s data platform for high-volume data ingestion, processing, orchestration, analytics, machine learning, and data products. Responsibilities include technical design, platform optimization, stability improvements, troubleshooting production issues, leading technical projects, and exploring AI agent applications. The role requires collaboration across geographically dispersed teams and strong expertise in Java, Spring Boot, Hadoop ecosystem technologies, databases, and large-scale data services.
Summary Generated by Built In
At Lalamove, we believe in the power of community. Millions of drivers and customers use our technology every day to connect with one another and move things that matter. Delivery is what we do best and we ensure it is always fast and simple. Since 2013, we have tackled the logistics industry head on to find the most innovative solutions for the world’s delivery needs. We are full steam ahead to make Lalamove synonymous with delivery and on a mission to impact as many local communities we can. We have massively scaled our efforts across Asia and now have our sights on taking our best in class technology to the rest of the world. And we are looking for talented professionals to join us in this journey!!
As a Senior Data Engineer at Lalamove, you will be joining the growing Data Platform team to develop and enhance our data platform. The data platform is the centralized portal that enables engineers and analysts across the company to ingest, process, orchestrate, analyze, and visualize the data of our company. As part of the Data Engineering function, the team will design, develop, maintain, and scale the data platform, including the data infrastructure and data services, which provides the foundation to downstream use cases such as data warehousing, reporting, machine learning, analytics, data products etc.
What you'll do
- Build and optimize the data platform of the company, which processes large and rapidly growing volume of data
- Lead our internal technical improvement projects
- Involve in the technical design of our data platform
- Ensure and continuously improve the stability and efficiency of the data platform
- Support and troubleshoot technical issues on the data platform
- Explore the application of AI Agents on the data platform to build industry-competitive systems
- Implement the capabilities on data platform for analytics, data science, and data product development
- Work in a cross-cultural geographically-dispersed team environment
What you'll need
- 3-5 years of relevant experience in data engineering or software engineering
- Strong experience in Java and Spring Boot framework
- Experience in building and designing customized platforms on top of the Hadoop ecosystem (Hive, HBase, Kafka, Flink etc.)
- Strong knowledge of HDFS, Hadoop ecosystem and its components
- Familiar with relational databases (e.g., MySQL) and common NoSQL/caching technologies (e.g., Redis, MongoDB)
- Experience in designing and implementing services that handles large volumes of data
- Strong ability to troubleshoot quickly in case of production issues
- Experience in developing user persona platforms is preferred.
- Fluency in Mandarin required; working knowledge of written English
To all candidates- Lalamove respects your privacy and is committed to protecting your personal data.
This Notice will inform you how we will use your personal data, explain your privacy rights and the protection you have by the law when you apply to join us. Please take time to read and understand this Notice. Candidate Privacy Notice: https://www.lalamove.com/en-hk/candidate-privacy-notice
Skills Required
- 3-5 years of relevant experience in data engineering or software engineering
- Strong experience with Java and Spring Boot
- Experience building and designing customized platforms on the Hadoop ecosystem, including Hive, HBase, Kafka, and Flink
- Strong knowledge of HDFS, Hadoop, and its components
- Familiarity with relational databases such as MySQL
- Familiarity with NoSQL and caching technologies such as Redis and MongoDB
- Experience designing and implementing services that handle large volumes of data
- Strong ability to troubleshoot production issues quickly
- Fluency in Mandarin
- Working knowledge of written English
- Experience developing user persona platforms
Lalamove Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Lalamove and has not been reviewed or approved by Lalamove.
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Strong & Reliable Incentives — Incentive programs such as missions, bonuses, and vehicle‑sticker promotions are highlighted as ways to boost driver earnings, with occasional commission reductions further enhancing take‑home. These extras can make the platform appealing for supplemental income and busy periods.
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Healthcare Strength — Corporate roles in some markets describe access to employer‑provided medical and dental coverage. This indicates a conventional health benefits baseline for office staff.
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Leave & Time Off Breadth — Office locations reference paid holidays, sick leave, and some work‑from‑home flexibility. This points to standard time‑off provisions for corporate employees in select markets.
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The Company
What We Do
Established in December 2013, Lalamove was created to make on-demand and same-day delivery possible for everyone at the touch of a button. Today, Lalamove operates in over 20 markets across Asia, Latin America, and the United States connecting over 7 million customers with a pool of over 700,000 driver partners. Our driver partners operate a vast array of vehicles to suit each market including lorries, trucks, vans and cars for deliveries of almost anything of any size. Fleets of two-wheel vehicles are also available for courier services providing fast and low-cost delivery solutions. Through dedicated mobile and web apps, Lalamove seamlessly connects users and drivers around the world to move things that matter.
