Data Engineering Manager

Top Priority
Bangkok
|Permanent
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About LINE MAN Wongnai

LINE MAN Wongnai is Thailand’s Leading On-Demand Delivery and Lifestyle e-Commerce platform services. We build technology to help Thai people live better, to empower all local businesses by creating an end-to-end food ecosystem through our channel LINE MAN and Wongnai. Connected consumers, riders, and local businesses and improved the daily life of all parties with restaurants nationwide. And because we are local, we provide the deepest variety and services that are tailor-made for Thai people.

 

The Data Engineering & Data Platforms teams are responsible for enabling and cooperating with product engineering teams, data analysts and data scientists to consume data simply and effectively to drive business impact. The teams consist of data engineers and data platform engineers that work closely together to build data products.

 

We are looking for a Data Engineering Manager who is responsible for overseeing the design, implementation, and maintenance of our data products as well as managing a team of data engineers. The ideal candidate will have a strong technical background in data engineering, data product development, and data mesh concepts, and will be able to lead a team to implement effective data solutions.

What you will do:

As Data Engineering Manager you are responsible for:

  • Manage, mentor, and grow a team of skilled data engineers proactively, with continuous feedback, thought leadership, partnership, and formal reviews on software design, team goals and coding standards.
  • Lead the development and implementation of data products at scale, leveraging data mesh concepts such as distributed data ownership, by guiding the team and by being hands-on (50/50).
  • Contribute to architectural designs which can improve the efficiency and flexibility of services
  • Provide development best practices and technical solutions for the data engineering team
  • Ensure the development of high-quality code through active participation in code and design reviews.
  • Cooperate with product engineers, analysts and data scientists to transform data into actionable insights, features, and models and integrate data back into our product.
  • Create a framework to plan and balance priorities between stakeholder requirements, platform improvements, and service requests.
  • Ensure data quality across data products and systems including monitoring by defining and managing SLAs.
  • Influence the performance of our pipelines to continuously ensure the reliability and efficiency of our data products.
  • Oversee data governance in the organization.
  • Facilitate team rituals including, stand-ups, planning, demos, backlog refinement, and retrospectives.
  • Stay up-to-date with emerging data technologies and industry best practices, with a focus on data mesh concepts and incorporate them into our organisation as appropriate

 

What you will need:

  • Bachelor’s degree or equivalent experience in Computer Science, Information Technology, Engineering or related fields.
  • 5+ years of engineering experience for data systems at scale.
  • 2+ years of experience with people management
  • Deep knowledge of distributed computing technologies, e.g. Kafka, Flink, Spark, Hive, Presto, Druid/Imply.
  • Strong programming skills (Python preferred) and experience with data infrastructure components including Kubernetes and Docker.
  • Solid track record of solving business challenges with strategic thinking, working across departments and solving challenges in and out of engineering.
  • Experience in building real-world data pipelines
  • Strong SQL and Python.
  • Experience with DevOps practices, CI/CD, and SRE mindset.
  • Excellent written and verbal communication in English (Thai is a plus)
  • Based in Thailand, or willing to relocate.
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Benefits & Perks
Flexible hours that suit your pace
Work from home or anywhere
MacBook provided for everyone
No cap on your annual leave
LINE MAN Services Coupon
Barista service available daily
Afterwork beer available daily
Yearly company outing trip
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