Senior Data Engineer — GCP
Listed on 2026-08-22
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IT/Tech
Cloud Computing: Infrastructure & Operations, Data Engineering
About Megazone Cloud
We're not just another cloud company. We're a scrappy startup, funded by Asia's largest cloud provider, building the next generation of data solutions from the ground up. We're a team of builders, thinkers, and problem-solvers. If you're tired of red tape and want to build impactful, cutting-edge systems while having your voice heard, you've found your home.
Who We’re Looking ForMegazone Cloud is looking for a Senior Data Engineer to help lead and define our data-driven culture on Google Cloud
. You are a "builder" at heart, a seasoned expert who thrives on solving complex problems. You have a startup mentality, a thirst for knowledge, and the ability to lead projects and mentor others.
You have deep expertise in data architecture and data wrangling, and you are a master of Python
, SQL
, and Big Query
. You've architected platforms that other people's businesses run on, and you know the difference between a pipeline that works and a pipeline that survives contact with the real world.
At L5 you lead ambiguous projects from conception to delivery and act as the technical point of contact for a client workstream. You're a "force multiplier" - your presence makes the engineers around you better.
What You'll DoArchitect, build, and lead: Architect and own scalable, high-performance data platforms and pipelines on Google Cloud - not just maintain them.
Define the data ecosystem: Drive the strategy for a client's data environment, leveraging Big Query and the GCP data stack to create powerful, efficient data models.
Write and review critical code: Develop clean, optimized, and automated solutions using Python and SQL. Set the standard for code quality and run rigorous, kind code reviews.
Face the client: Lead technical discussions in your workstream - demos, working sessions, architecture reviews, and knowledge-transfer workshops - and translate business requirements into technical decisions.
De-risk: Prototype solutions, evaluate new services, and surface risks before they become escalations.
Collaborate and multiply: Act as a key "force multiplier" within our cross
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