Senior Data Engineer, Data Infrastructure – Business Insights

This is a fully remote position, open to applicants in Indonesia.

📋 Description

• Design, develop, and maintain efficient ETL/ELT processes and dependable data pipelines in dbt and BigQuery, integrating data from diverse sources such as MongoDB, SQL, Google Sheets, Google Analytics, APIs, and more;

• Create and sustain dashboards and visualizations using Looker Studio and other business intelligence tools;

• Ensure the quality, consistency, and accessibility of data throughout the organization, implementing data quality controls;

• Collaborate proactively with various stakeholders across operations, sales, finance, and tech to clarify requirements and address data-related inquiries.

⛳️ Requirements

• A minimum of 5 years of experience in data engineering, analytics engineering, or data analytics roles within a fast-paced or startup environment;

• Excellent communication skills with the ability to work collaboratively with non-technical stakeholders to convert business needs into practical data solutions;

• Strong expertise in SQL and Excel, along with experience in BigQuery or similar cloud data warehouses; familiarity with MongoDB is advantageous;

• Experience using Python for data processing or automation; knowledge of other programming languages is a bonus;

• Comprehensive understanding of data modeling and database design principles;

• Practical experience with data visualization and business intelligence tools, particularly Looker Studio;

• Proficient in using Git;

• Bachelor’s degree in Mathematics, Economics, Computer Science, Information Management, or Statistics;

• Fluent in both written and spoken English.

🏝️ Benefits

• Competitive salary and performance-based incentives;

• Opportunities for professional growth and development;

• Flexible working hours and remote work options;

• Collaborative and innovative team environment;

• Health and wellness benefits.