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
Data Engineer - AI-Ready Data Pipelines
Build and maintain AI-ready data pipelines in Python, integrating multiple sources and ensuring data quality for downstream AI/ML teams.
Data Engineer: Optimalkan Kualitas Data Otomatisasi Docker
Builds and maintains automated data pipelines using Docker to ensure data integrity, optimize database performance, and streamline workflows for a Jakarta-based company.
Data Engineer Intern: Dashboards, SQL & Analytics
Build and maintain business dashboards, write and optimize SQL queries, and assist with data processing and simple ETL tasks.
DATA ENGINEER
Build and maintain ETL pipelines and a centralized customer data platform using Python, SQL, and data warehousing tools to ensure reliable, structured data for analytics and decision-making.
Data Engineer (Mid-Level) - GCP, BigQuery & Airflow
Designs, builds, and maintains scalable data pipelines on GCP using BigQuery and Airflow, enabling real-time analytics for internal and client teams.
Data Engineer, AI-Powered Education Platform
Build and maintain data infrastructure for an AI-powered education platform using SQL, Python, BigQuery, and Apache Airflow.
Data Engineer
Build and maintain scalable data pipelines and warehouses on GCP/BigQuery using Airflow, dbt, and Python to power AI-driven education analytics and reporting.
Data Engineer for AI-Driven Platform Remote, Stock Options
Build and optimize large-scale data pipelines for an AI-powered SaaS platform, focusing on web data crawling, cleansing, and enrichment.
Lead Data Engineer – ETL, BI & SAP
Designs and maintains ETL pipelines from SAP/ERP into data warehouses, builds BI models, and creates Power BI/QuickSight dashboards for analytics.
Data Platform Engineer (Cloudera)
Engineer and maintain a Cloudera Hadoop data platform, tuning clusters, securing services, and optimizing Spark/Hive/Impala workloads for a banking environment.
Cloudera Data Platform Engineer - Hadoop, Spark & ML
Manages Cloudera Data Platform and related services, handling cluster monitoring, Linux tuning, security, and data replication for big-data workloads.
Senior Data Platform QA Engineer: Data Quality & Automation
Owns quality for Doist’s Data Platform and Analytics products, validating data pipelines, warehouse models, and reports with SQL to ensure accuracy before customers see them.
Analytics & AI Engineer - Data Platform & ML Ops
Designs and builds data infrastructure and AI-enabled systems for Wego’s travel platform, ensuring reliable data pipelines and production-ready ML models.
Senior QA Engineer — Data Platform - Contractor role
Senior QA Engineer owns data correctness for analytics pipelines, warehouse models, and reports, validating metrics against raw sources and automating quality checks with SQL and tools like Soda and Playwright.
Data Engineer
Build and maintain data pipelines, warehouses, and ETL processes on GCP/BigQuery to support analytics and investment insights for a mutual-fund platform.
Data Engineer
Build and maintain ETL/ELT pipelines and data processing systems using Python, SQL, Apache Airflow, and dbt.
Data Engineer
Builds and maintains ETL pipelines (SSIS, SQL Server/Oracle) and data marts, then creates Tableau dashboards to support financial reporting and analytics.
Lead Data Engineer
Lead a team to design and build enterprise-scale data warehouses, lakes, and analytics pipelines using SQL, Python, and cloud platforms like Snowflake/AWS.
Freelance Data Engineer
Build and maintain scalable ETL/ELT pipelines, optimize data warehouses, and deploy ML models on Google Cloud Platform using Python and SQL.