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AME Research Linkedin · Posted 2mo ago

Data Engineer

Jakarta

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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.

This role involves working with Python-based ETL pipelines, workflow orchestration (Apache Airflow or equivalent), and cloud storage solutions (e.g., Azure Blob Storage).

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

How To Apply

If you're interested in this role, please send your CV and Cover Letter to [email protected].

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