Senior Data Engineer — GCP

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.

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.

Megazone 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.

• Architect, 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-functional US and offshore teams, and mentor junior engineers into engineers you'd want on your next project.
• Be a flexible leader:
  Embrace a “builder” mentality. In a startup, you'll have the flexibility to solve diverse challenges, and your voice will be critical in shaping our technical roadmap.

• Big Query — partitioning, clustering, authorized views, BI Engine, Big Query ML

• Datastream, Pub/Sub, Dataflow, Cloud Functions / Cloud Run, Cloud Storage

• Dataform or dbt — SQL models, assertions/tests, Git-based workflows

• Cloud Composer (Airflow), Cloud Workflows, Eventarc

• Dataplex / Knowledge Catalog — glossary, policy tags, lineage, column-level security

• Cloud Monitoring + Logging — SLIs/SLOs, alerting, data quality metrics

• Terraform, Git Hub Actions, Secret Manager, least-privilege IAM

• Looker, Power BI, Vertex AI, Gemini

• 5–8+ years of professional data engineering experience.
• Deep, expert-level proficiency with Python.
• Deep, expert-level proficiency with SQL.
• Hands-on, expert-level experience with Big Query and the wider Google Cloud data stack.
• Hands-on experience with a SQL transformation framework — Dataform or dbt.
• Deep expertise in designing and architecting scalable data platforms, including batch and streaming ingestion patterns.
• Strong infrastructure-as-code practice — Terraform (or equivalent) and CI/CD.
• Proven ability to lead complex, ambiguous projects from conception to delivery.
• Experience mentoring other engineers and helping to level up the team.
• Exceptional communication…