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 For

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 BigQuery. 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 Do

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 BigQuery 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.

The Stack We Build On

Layer

What we build with

Warehouse & compute

BigQuery — partitioning, clustering, authorized views, BI Engine, BigQuery ML

Ingestion & streaming

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

Transformation

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

Orchestration

Cloud Composer (Airflow), Cloud Workflows, Eventarc

Governance & catalog

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

Observability

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

IaC & CI/CD

Terraform, GitHub Actions, Secret Manager, least-privilege IAM

Analytics & AI

Looker, Power BI, Vertex AI, Gemini

What You Bring

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 BigQuery 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 skills, the flexibility to think fast, and the credibility to present a decision to technical and non-technical audiences alike.

A “builder” mindset, a startup mentality, and a genuine thirst for knowledge.

Senior Data Engineer — GCP