Data Engineering Jobs in Indonesia
There are 316 open Data Engineering jobs in Indonesia on freehire right now. 150 of them were posted recently. The skills employers ask for most often are sql, etl and data-pipelines.
Most requested skills
- sql 65%
- etl 57%
- data-pipelines 50%
- python 50%
- cloud 44%
- data-quality 40%
- data-engineering 37%
- analytics 35%
How the work is done
- Hybrid 10 · 3%
- Onsite 4 · 1%
- Remote 4 · 1%
Visa sponsorship offered in 0% of the 7 postings that state a position on it.
Seniority
- Senior 47
- Lead 14
- Junior 9
- Intern 8
- C-level 4
- Middle 3
Who is hiring
- 1000+ employees 23
- 11-50 employees 10
- 501-1000 employees 10
- 51-200 employees 9
Senior Data Engineer - Jakarta Department Data Employment Type
Build and optimize Stockbit’s data warehouse and pipelines on GCP, using Python, dbt, and SQL to enable reliable analytics and insights for the investment platform.
Data Engineer: Build Scalable Pipelines & Data Warehouses
Designs and maintains scalable data pipelines and warehouses, ensuring clean, high-performance data flows for analytics and product teams using cloud platforms like AWS, GCP, or Azure.
Data Engineer
Designs and maintains data pipelines, warehouses, and lakes, ensuring data quality and performance while collaborating with analysts and engineers.
Data Engineer
Design and maintain Python-based ETL pipelines to ingest public economic/financial API data into Azure Blob and SQL databases for analytics and reporting.
Senior Data Engineer: ELT Pipelines & AI Analytics
Designs and maintains ELT pipelines with dbt, Fivetran/Airbyte to feed AI and analytics models, ensuring scalable, cost-efficient data infrastructure.
Data Engineer
Build and maintain ELT pipelines with dbt, Fivetran/Airbyte, and data warehouses to support analytics and AI workloads.
Senior Data Engineer: Azure, Databricks & MLOps Lead
Designs, builds, and optimizes scalable data and ML platforms for finance and public-sector clients using Azure, Databricks, and MLOps practices.
Senior AI Platform & Data Engineer
Build and maintain a universal data platform that integrates enterprise data sources into automated pipelines, ensuring high-quality data for AI agents, LLMs, and RAG workflows using Python, SQL, and vector databases.
Senior Data Engineer (Azure, Databricks & MLOps)
Senior Data Engineer builds and optimizes scalable Azure-based data and ML pipelines using Databricks, PySpark, and MLOps tools to support analytics and AI deployments for fintech and public-sector clients.
Data Engineer
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.
Data Engineer: Build ETL Pipelines & API Integrations
Designs and maintains ETL pipelines to ingest public API data into centralized storage and databases for downstream analysis.
Senior AI Data Platform Engineer — GenAI & UDP Lead
Build and govern a universal data platform to power GenAI agents, LLMs, and retrieval workflows with clean, integrated data and semantic search capabilities.
Hybrid Data Engineer - ETL, Spark & Big Data Pipelines
Build and maintain ETL pipelines using Spark and Big Data tools to process large-scale news and company data for analytics and AI systems.
Remote Data Engineer: Build Data Pipelines & Dashboards
Build and maintain data pipelines and models in BigQuery using SQL and Python to deliver dashboards and insights that inform business decisions.
AI Data Engineering Manager - Build AI-Driven Pipelines
Design and build scalable, AI-driven data pipelines using platforms like Databricks and Snowflake to support advanced analytics and innovation.
Data Engineer - ETL, Data Pipelines & BI Specialist
Designs and maintains ETL pipelines, data warehouses, and BI systems for a healthcare company, ensuring reliable data access and analytics.
Senior Data Engineer - Build Scalable Data Pipelines
Senior Data Engineer builds and maintains scalable data pipelines using Spark and Airflow, optimizes cloud storage, and ensures data quality for analytics at a fintech company.
Data Engineer: Scale Data Pipelines & Insights
Designs, builds, and maintains data pipelines and warehouses using GCP BigQuery and Python to ensure reliable data for analytics and decision-making.
Remote Data Engineer: Cloud Data Products (Snowflake+Dagster)
Build and maintain cloud data products using Snowflake and Dagster, migrating data and designing ETL/ELT pipelines with SQL, Python, and data modeling.