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Data Engineer jobs in Indonesia

Junior Data Engineer

Populix

Jakarta Utara
On-site
IDR 420,804,000 - 589,127,000
Yesterday
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Junior Data Engineer

Populix

Daerah Khusus Ibukota Jakarta
On-site
IDR 504,795,000 - 841,326,000
2 days ago
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Data Engineer

Dexa Group

Tangerang Selatan
On-site
IDR 200,000,000 - 300,000,000
Today
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Data Engineer

PT.Japfa Comfeed Indonesia

Surabaya ꦱꦸꦫꦧꦪ
On-site
IDR 673,060,000 - 1,009,592,000
2 days ago
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Data Engineer

Bjak

Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
4 days ago
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Data Engineer

StickEarn

Jakarta Pusat
Hybrid
IDR 200,000,000 - 300,000,000
3 days ago
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Sr. Data Engineer - Remote

Jobgether

Emea
Remote
IDR 200,000,000 - 300,000,000
7 days ago
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Associate Data Engineer

NTT

Daerah Khusus Ibukota Jakarta
Hybrid
IDR 504,456,000 - 840,761,000
4 days ago
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Lead Data Engineer - Remote

Jobgether

Emea
Remote
IDR 200,000,000 - 300,000,000
5 days ago
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Senior Data Engineer: On-Prem Data Platform & Pipelines

PT. LOTTE INNOVATE INDONESIA

Cilegon
On-site
IDR 200,000,000 - 300,000,000
5 days ago
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Data Engineer: Scalable Pipelines for Ad Tech Analytics

StickEarn

Jakarta Pusat
Hybrid
IDR 200,000,000 - 300,000,000
3 days ago
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Data Engineer - Scale Core Pipelines with Autonomy & Impact

Bjak

Daerah Khusus Ibukota Jakarta
On-site
IDR 200,000,000 - 300,000,000
4 days ago
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Remote Senior Data Engineer: Oracle-SAP Data Mapping

Jobgether

Emea
Remote
IDR 200,000,000 - 300,000,000
5 days ago
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Remote Senior Data Engineer — Scalable Pipelines & AI Data

Jobgether

Emea
Remote
IDR 200,000,000 - 300,000,000
7 days ago
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Junior Data Engineer - Hybrid Role, Hands-on Projects

NTT

Daerah Khusus Ibukota Jakarta
Hybrid
IDR 504,456,000 - 840,761,000
4 days ago
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Senior Data Engineer

PT. LOTTE INNOVATE INDONESIA

Cilegon
On-site
IDR 200,000,000 - 300,000,000
5 days ago
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Senior Software Engineer, Data - Global Team & High-Impact

Indodana

Jakarta Utara
On-site
IDR 671,366,000 - 1,007,050,000
5 days ago
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Data Engineer

Funding Societies | Modalku Group

Jakarta Barat
On-site
IDR 200,000,000 - 300,000,000
11 days ago

Data Engineer - Data Warehouse

PT Trinusa Travelindo

Jakarta Utara
On-site
IDR 200,000,000 - 300,000,000
8 days ago

Senior Data Engineer (Mandarin Speaker)

PT. HAND Solutions Indonesia

Jakarta Pusat
On-site
IDR 843,028,000 - 1,180,240,000
8 days ago

Data Engineer

SwiftMind Indonesia

Tangerang Selatan
On-site
IDR 200,000,000 - 300,000,000
14 days ago

Data Engineer (Outsource Contract)

PT Morula Indonesia

Jakarta Pusat
On-site
IDR 200,000,000 - 300,000,000
21 days ago

Junior Data Engineer: Build Scalable Data Pipelines

Populix

Daerah Khusus Ibukota Jakarta
On-site
IDR 504,795,000 - 841,326,000
2 days ago
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Data Engineer: ETL/ELT & Cloud Data Pipelines

PT.Japfa Comfeed Indonesia

Surabaya ꦱꦸꦫꦧꦪ
On-site
IDR 673,060,000 - 1,009,592,000
2 days ago
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Data Engineer/Senior Engineer

PT Sea Group

Indonesia
On-site
IDR 200,000,000 - 300,000,000
20 days ago

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Junior Data Engineer
Populix
Jakarta Utara
On-site
IDR 420.804.000 - 589.127.000
Full time
Yesterday
Be an early applicant

Job summary

A data insights platform in Indonesia is seeking a Junior Data Engineer to join their AI team. The role involves designing, building, and maintaining scalable data pipelines, collaborating closely with senior engineers and product teams. Ideal candidates will have hands-on exposure to Python, Apache Spark, and cloud platforms like GCP or AWS. This position offers a great opportunity for growth in a fast-paced environment focused on data-driven decision making.

Qualifications

  • Early career in data engineering or related field.
  • Experience with data pipelines and cloud platforms is preferred.
  • Strong problem-solving skills and eagerness to learn.

Responsibilities

  • Design, develop, and maintain scalable ETL/ELT data pipelines.
  • Build and optimize data workflows on GCP or AWS.
  • Write efficient SQL queries for data analytics.

Skills

Python
Apache Spark
SQL
Cloud platforms (GCP or AWS)
ETL/ELT processes

Tools

Apache Airflow
BigQuery
Job description

Populix is a consumer insights platform that helps businesses connect with its database of respondents and provides them with insights to understand the preferences of Indonesian consumers better. Populix has a pool of over 1,000,000 diverse, readily accessible, and highly-qualified respondents across Indonesia. Its products range from intensive research studies to simple surveys and can be arranged on a project or subscription basis. Focusing on Indonesian consumers being super sticky to their phones, Populix facilitates a diverse range of data collection methods via its mobile app.

About this job:

We are looking for a Junior Data Engineer to join our growing AI team. In this role, you will help design, build, and maintain scalable data pipelines that power analytics and data-driven decision-making across the organization. You will work closely with senior engineers, data analysts, and product teams to ensure high-quality, reliable data infrastructure using modern cloud technologies.

This is an excellent opportunity for someone early in their data engineering career who is eager to learn and grow in a fast-paced environment with hands‑on exposure to Python, Apache Spark, and cloud platforms (GCP or AWS).

Job Description and Requirements:
  • Design, develop, and maintain scalable ETL/ELT data pipelines using Python/PySpark/Rust to process structured and unstructured data.
  • Build and optimize data workflows on cloud platforms (Google Cloud Platform or AWS), leveraging services such as BigQuery, Dataproc, Cloud Storage, S3, Glue, or EMR.
  • Write efficient, well‑tested SQL queries to transform and aggregate data for analytics, reporting, and downstream consumption (Familiarity with transformation tools like DBT is a plus).
  • Collaborate with data analysts, data scientists, and product teams to understand data requirements and deliver reliable data solutions.
  • Implement data quality checks, monitoring, and alerting to ensure accuracy, completeness, and timeliness of data.
  • Support and improve workflow orchestration using tools such as Apache Airflow, Dagster, Prefect, or similar schedulers.
  • Assist in maintaining data warehouse and data lake architectures following best practices (e.g., Medallion Architecture, Star Schema).
  • Participate in code reviews, documentation, and knowledge sharing within the engineering team.
  • Troubleshoot and resolve data pipeline failures and performance issues in a timely manner.

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* The salary benchmark is based on the target salaries of market leaders in their relevant sectors. It is intended to serve as a guide to help Premium Members assess open positions and to help in salary negotiations. The salary benchmark is not provided directly by the company, which could be significantly higher or lower.

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