Junior Data Engineer

Populix; Jakarta Utara; On-site; IDR 420.804.000 - 589.127.000; Full time

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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