
Senior Data Engineer, Data Infrastructure – Business Insights
Posted May 24

Posted May 24
This is a fully remote position, open to applicants in Indonesia.
• 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.
• 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.
• 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.
Aimpoint Digital
Power Digital Marketing
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