Data Engineer
Summary
Design and maintain ETL pipelines that pull data from public APIs into Azure Blob and SQL databases, ensuring clean, reliable data for analytics and reporting.
About The Role
We're looking for a Data Engineer to design, implement, and maintain reliable data pipelines that collect and process data from various public APIs into a centralised blob storage and database environment. You'll play a key role in ensuring data is ingested efficiently, transformed cleanly, and made accessible for downstream analysis and reporting.
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Data Engineer
09 Dec 2025
Location: Jakarta
Position Type: Full-time (in office)
Reports to: CTO
About The Role
We're looking for a Data Engineer to design, implement, and maintain reliable data pipelines that collect and process data from various public APIs into a centralised blob storage and database environment. You'll play a key role in ensuring data is ingested efficiently, transformed cleanly, and made accessible for downstream analysis and reporting.
Key Responsibilities
- Design and implement robust ETL/ELT pipelines to extract data from multiple public APIs and load into blob storage and relational databases.
- Build and manage scheduled workflows using tools such as Apache Airflow (or similar).
- Handle complex API integrations, authentication flows (OAuth2, API keys), pagination, and rate limiting.
- Structure data in blob storage (e.g., Azure Blob) for efficient downstream access.
- Transform and load data into structured SQL-based databases for analytics and access by Web applications
- Implement monitoring, logging, and validation to ensure data integrity and pipeline reliability.
- Work closely with data scientists, and software developers to ensure data availability and usability.
- Maintain clear documentation for data sources, transformations, and orchestration logic.
Qualifications
- Bachelor's degree in Computer Science, Data Engineering, or a related field (or equivalent experience).
- 3+ years of experience building data pipelines in a production environment.
- Strong understanding of ETL/ELT architecture, API data ingestion, and data modelling principles.
- Experience with Azure
Technical Skills
- Languages: Python (preferred), SQL (Microsoft T-SQL)
- Orchestration: Apache Airflow or similar
- RESTful API integration (authentication, pagination, error handling)
- Azure Blob Storage
- Familiarity with version control (Git) and CI/CD pipelines
Nice To Have
- Experience integrating data from open economic and financial APIs (e.g., World Bank, IMF, OECD, UN Data, FRED)
- Familiarity with large structured and semi-structured datasets (JSON, CSV, Parquet) and associated performance considerations
- Experience building incremental ingestion or change data capture (CDC) pipelines
Soft Skills
- Strong analytical and problem-solving mindset
- Clear communication of technical concepts to non-technical stakeholders
- Attention to detail and data accuracy
- Proactive approach to monitoring
What We Offer
- Modern, central office near to public transport and key amenities
- Competitive salary