Junior Data Engineer: Build ETL Pipelines & Data Quality

Intrepid Asia; Jakarta Pusat; On-site; IDR 120,000,000 - 180,000,000; Full time

Benefits offered by this job

Comprehensive insurance

Ample leave

Job summary

Intrepid Asia is hiring a Junior Data Engineer to support data pipelines and warehouses powering decision-making for SEA brands. You will work with senior engineers on hands-on ETL/ELT development, focusing on data reliability and growth in a fast-paced environment.

Ideal candidates have 2+ years in data engineering, strong Python/SQL, and experience with Airflow, BigQuery, and modern data tools. Join a collaborative team building the operating system for digital commerce in Southeast Asia.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related technical field.
• 2+ years hands-on experience in data engineering, data pipelines, or a closely related role.
• Proven Python & SQL proficiency.
• Hands-on experience with Apache Airflow or a comparable workflow orchestration tool.
• Working proficiency in Python (e.g., pandas, scripting for data workflows).
• Familiarity with cloud data warehouses (Google BigQuery preferred; Snowflake, Azure Synapse, Databricks, or similar also considered).
• Familiarity with OLTP databases such as MySQL or Postgres.
• Basic understanding of ETL/ELT design patterns and data modelling concepts.
• Nice-to-have: Exposure to dbt (or similar transformation tools).
• Exposure to OLAP databases (StarRocks, ClickHouse, or similar).
• Familiarity with a semantic layer tool (e.g., Cube.dev) or BI/reporting tools (Looker Studio, Apache Superset).
• Experience working in an Agile/Scrum environment.
• Eagerness to learn, take ownership of assigned tasks, and grow into a more senior data engineering role.

Responsibilities

• Build, maintain, and troubleshoot ETL/ELT pipelines orchestrated with Apache Airflow under guidance of senior engineers.
• Write and optimize SQL transformations across StarRocks and Google BigQuery.
• Support ingestion of data from multiple marketplaces into our warehouse.
• Implement and maintain data quality checks and monitor pipeline runs.
• Collaborate with analysts and senior data engineers to translate requirements into pipeline logic.
• Participate in Agile ceremonies (Scrum/Kanban) sprint planning, stand-ups, retros.
• Follow conventions for pipeline standardization, naming, and documentation.

Skills

Python

SQL

Apache Airflow

BigQuery

StarRocks

dbt

Looker Studio

Apache Superset

Pandas

MySQL

Postgres

Education

Bachelor’s degree in Computer Science, Engineering, or a related technical field

Tools

Airflow

Cube.dev

Looker Studio

Apache Superset

Job description

Intrepid Asia is hiring a Junior Data Engineer to support data pipelines and warehouses powering decision-making for SEA brands. You will work with senior engineers on hands-on ETL/ELT development, focusing on data reliability and growth in a fast-paced environment.

Ideal candidates have 2+ years in data engineering, strong Python/SQL, and experience with Airflow, BigQuery, and modern data tools. Join a collaborative team building the operating system for digital commerce in Southeast Asia.