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 (PH)
Build and maintain scalable data pipelines on AWS and Databricks, focusing on ETL, real-time processing with Spark/Kafka, and data quality for a fintech/crypto company.
Data Engineer: Scalable Pipelines & ML Readiness
Designs and maintains scalable data pipelines for analytics and ML readiness, integrating multiple data sources and ensuring reliability.
Data Engineer Specialist
Designs and maintains scalable data pipelines and architectures in Python/Java/Scala, ensuring efficient data flow and processing for analytics and decision-making.
Data Engineer: Build Scalable Pipelines & Architecture
Designs and maintains scalable data pipelines and architectures to enable data-driven decisions, collaborating with scientists and analysts using programming, SQL, and cloud tools.
Senior Data Engineer
Build and optimize scalable data pipelines and storage systems using Python, SQL, Spark, Airflow, and GCP for a fintech company.
ETL Data Engineer: Build & Optimize Pipelines
Designs, builds, and optimizes ETL/ELT pipelines to extract, transform, and load data into warehouses and lakes while ensuring accuracy and performance.
Senior Data Engineer: Scalable Pipelines & Cloud (GCP)
Design and optimize scalable data pipelines using Python, Spark, Airflow, and GCP for a fintech company.
Data Engineer Supervisor
Supervise a team building and maintaining ETL pipelines, data warehouses, and BI dashboards for a global gummy candy manufacturer using SQL, Power BI, and AWS tools.
Data Engineer: ETL & Cloud Data Platform Architect
Designs and maintains ETL pipelines and cloud data platforms using Python, SQL, Hadoop, and Spark for an Indonesian IT consulting firm.
Python Data Engineer & QA Specialist
Build and maintain scalable data pipelines and QA processes using Python, cloud tools, and big data tech to deliver analytics solutions for clients.
AI Data Engineering Consultant (Managerial)
Design and build AI-driven data pipelines using Databricks, Snowflake, Spark, and Kafka to enable clients' advanced analytics and machine learning solutions.
Data Engineer - Zurich Asuransi Indonesia
Builds and optimizes ETL/ELT pipelines in Databricks using Spark SQL and Python to transform raw insurance data into clean, analytics-ready datasets for data scientists and analysts.
Fabric Data Engineer: AI-Ready Lakehouse & Pipelines
Designs and maintains Microsoft Fabric Lakehouses, Warehouses, and Pipelines to prepare data for analytics and AI workloads in an edtech company.
Experienced Data Engineer: Real-Time Pipelines & AWS
Design and maintain scalable data pipelines and ETL workflows using AWS and Databricks to process real-time financial data for a crypto-focused platform.
Data Engineer - ETL Pipelines, Airflow & dbt, Hybrid & Growth
Build and maintain ETL pipelines using Python, SQL, Apache Airflow, and dbt to ensure reliable data quality for a global presentation software company.
Data Engineer: Build, Optimize Pipelines & BI Dashboards
Build and optimize data pipelines with SSIS and SQL, then create Tableau dashboards to support business analytics and decision-making.
Data Platform Engineer - GTech
Build and maintain scalable, secure big-data infrastructure using Hadoop, Spark, Kafka, and cloud-native services to support analytics and pipelines.
Senior Spark Data Engineer – ETL, Databricks, Cloud
Builds and optimizes Spark-based ETL pipelines in Databricks to turn raw insurance data into clean, analytics-ready formats using Spark SQL and Python.
Data Engineer: ETL, ML & GCP Data Lakes
Designs and maintains ETL/ELT pipelines, manages databases, and deploys ML models using Python, SQL, and GCP services.