Data Engineer

Bandung, Indonesia
· Full-Time

Solve Education! is hiring a Data Engineer to build and own the data infrastructure behind our mission: helping young people everywhere reach their potential through accessible, AI-powered learning. This is a high-ownership role for an engineer who thrives on autonomy, sets a high bar for their own work, and wants their engineering to translate directly into real-world impact.

You’ll design, build, and maintain the data systems that power our global programs — from pipelines to analytics-ready warehouses — covering full‑cycle engineering, performance optimization, and governance. You’ll operate with a high degree of independence, make sound decisions without waiting for direction, and ship reliable solutions in a fast-moving environment. This is a role for someone who leads by doing.

We’ve standardized our platform deliberately, and we want someone who’s strong in these tools — not someone we have to retrain on the fundamentals:

• Cloud: Google Cloud Platform (GCP)
• Data warehouse:
  Big Query — this is the heart of everything we do, and deep hands‑on experience here is required
• Orchestration: Apache Airflow (Cloud Composer)
• Transformation & modeling: dbt (or Dataform)
• Sources: MongoDB (application database) and other operational sources
• BI & visualization: Looker Studio and Metabase
• Languages: Python and SQL
• Streaming (where needed): Pub/Sub
• Version control & delivery: Git, with CI/CD for data workflows
• AI tooling: Claude and other LLM assistants used daily to move faster

We want to be upfront about how we work. This role moves quickly and trusts you with real ownership. You’ll handle ambiguity, juggle multiple priorities, and deliver production‑ready work — sometimes as requirements shift mid‑week or feedback needs a fast turnaround. We look for people who stay composed under pressure, take full accountability for their work, and hold themselves to a high standard without close supervision.

If you’re looking for a role that will stretch your technical range, sharpen your problem‑solving, and connect your work to a mission that matters, we’d love to hear from you.

Data Infrastructure & Pipelines

• Design, build, and maintain scalable pipelines in Apache Airflow to ingest data from multiple sources — including MongoDB — into Big Query.
• Own the data architecture across ingestion, storage, and transformation layers, keeping it reliable, consistent, and high‑quality.
• Model raw data into clean, structured, ready‑to‑consume datasets using dbt/Dataform, including turning event‑level data into sessions and other analytical entities.
• Build and curate data sources and data marts that serve analytical and reporting needs across teams.

Performance & Reliability

• Monitor pipeline health, troubleshoot failures, and ensure timely, accurate data delivery with minimal downtime.
• Optimize Big Query query performance and manage storage/compute cost to keep the platform efficient.
• Implement automated testing, validation, and error handling to keep pipelines robust.

Data Quality & Governance

• Apply best practices in data modeling, security, and compliance, and safeguard data integrity across the platform.
• Implement governance, access controls, and documentation (metric definitions, lineage, business glossary) for secure, consistent data usage.

Analytics & BI Enablement

• Build dashboards and visualizations in Looker Studio and Metabase to support data‑driven decisions.
• Partner with stakeholders to define metrics and enable reliable self‑service analytics.

AI-Enhanced Workflows

• Use AI‑powered tools (e.g., Claude, Git Hub Copilot, cloud‑native AI services) to boost efficiency, scalability, and documentation quality.
• Continuously explore and adopt new technologies that streamline workflows and accelerate delivery.

Collaboration & Documentation

• Work closely with product, engineering, and business teams to define data requirements, metrics, and self‑service analytics needs.
• Translate business requirements into efficient, scalable technical solutions, enabling advanced analytics and ML initiatives.
• Maintain technical documentation and standards, track key performance metrics,…