We’re looking for a Data Engineer to build and maintain scalable, high-performance data pipelines using GCP tools like BigQuery, DataFlow, Dataform/dbt, and Cloud Storage. You’ll design efficient ETL/ELT workflows, optimize data infrastructure, and ensure data quality, security, and compliance.

If you're passionate about transforming complex data into reliable insights and enabling data-driven decisions across teams, this is your opportunity to make a real impact.

Design, develop, and maintain scalable data pipelines using GCP services such as BigQuery, DataFlow (Apache Beam), Dataform/dbt, and Cloud Storage.

Implement ETL/ELT processes for data ingestion, transformation, and loading.

Optimize data workflows for performance, scalability, and reliability.

Ensure data governance, security, and compliance best practices.

Collaborate with data analysts to enable seamless access to structured and unstructured data.

Troubleshoot and resolve data infrastructure issues, minimizing downtime and performance bottlenecks.

Stay up to date with industry trends and emerging technologies, continuously improving data engineering practices.

Bachelor's degree in Computer Science, Data Science, Statistics or a related field

2 years of experience in a Data Engineering or similar role

Strong verbal and written communication skills in Indonesian and English

Strong experience with Google Cloud Platform (BigQuery, Cloud Storage, Cloud Functions, etc.)

Hands-on experience with Dataform (or dbt)

Proficiency in SQL and scripting languages (e.g., Python or JavaScript)

Experience in version control tools (Git) and CI/CD workflows

Solid understanding of data warehousing principles and ETL/ELT best practices

Experience with orchestration tools (e.g., Airflow, Cloud Composer) is a plus

We’re looking for a Senior Data Analyst to execute our analytics strategy across multiple teams. You’ll be responsible for turning data into insights that support product development, operations, fraud prevention, marketing, and payment processes.

If you enjoy diving into complex datasets, building tools that empower teams, and translating analysis into real-world impact, this role is a great opportunity to shape decisions across the organization. 

Lead and execute analytics strategy across product, operations, fraud, marketing, and payments teams.

Design, build, and maintain dashboards and reports using Looker / LookML.

Analyze user behavior, transaction trends, and operational performance using BigQuery and other GCP tools.

Provide actionable data insights and clearly present findings and recommendations to management and senior stakeholders.

Support fraud detection and transaction risk analysis through data modeling and monitoring.

Collaborate cross-functionally with business and product teams to drive data-informed decisions.

Mentor junior analysts and foster a culture of data excellence across the organization.

Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, Engineering, or a related quantitative discipline.

Minimum 5 years of experience in data analytics, BI, or data science roles.

Strong proficiency in SQL, Python (or R), and Looker / LookML.

Hands-on experience with Google Cloud Platform, particularly BigQuery.

Skilled in building and presenting compelling data stories to non-technical leadership.

Experience in digital commerce, gaming, fintech, or transactional platforms is highly preferred.

Strong communication and stakeholder management skills.

Proven ability to mentor, lead initiatives, and drive analytics strategy is an advantage.