Data Engineering

PT Citarasa Kuliner Indonesia (Cimol Bojot AA); Kota Bandung; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A growing food company in Indonesia is seeking a skilled Data Engineer to build scalable data infrastructures. You will be responsible for managing data pipelines, ensuring data quality, and supporting business intelligence efforts. The ideal candidate has experience in SQL and Python, along with familiarity with modern data technologies like Google BigQuery and cloud services. This role provides an excellent opportunity to contribute to data-driven decision-making in the F&B domain.

Qualifications

• Minimum 2 years of work experience as a Data Engineer.
• Strong proficiency in SQL (especially PostgreSQL) and Python.
• Solid understanding of ETL/ELT concepts and experience with pipeline orchestration tools.

Responsibilities

• Build, test, and maintain data pipelines to extract and load data.
• Consolidate raw data into a centralized data warehouse.
• Support data transformation using tools like dbt.

Skills

SQL

Python

ETL/ELT concepts

Data transformation tools (dbt)

Pipeline orchestration (Apache Airflow)

Docker

Business Intelligence tools

Data governance

Cross-functional collaboration

Tools

Google Cloud

AWS

Google BigQuery

Job description

Overview

At Cimol Bojot Aa, we're not just about cimol, we're building a data-driven business. We believe every decision, from managing inventory to marketing strategies, should be backed by accurate, accessible data. We're looking for a Data Engineer to be a key pillar in building our data foundation from the ground up.

This is a hands-on opportunity to build a scalable data infrastructure from the ground up, with a focus on data governance, quality assurance, and reproducibility. You'll work closely with the Data Manager and collaborate across teams such as finance, marketing, production, and warehouse.

What You'll Do

• Build, test, and maintain data pipelines to extract, clean, and load data from various tools (ERP, POS, campaign platforms, spreadsheets).
• Consolidate raw data into a centralized data warehouse on a cloud platform (Google Cloud or AWS).
• Design and maintain a data warehouse using Star Schema, Medallion Architecture, or similar concepts to support analytics across finance, marketing, supply chain, and sales.
• Support data transformation using tools like dbt and manage the data flow using tools like Apache Airflow.
• Control and manage cloud pricing to ensure cost-efficient use of resources.
• Provide and manage access to Business Intelligence (BI) tools like Metabase, Looker, or Tableau to enable self-service analytics.
• Document data models, workflows, and system designs to ensure reproducibility.

What We're Looking For

• Minimum 2 years of work experience as a Data Engineer.
• Strong proficiency in SQL (especially PostgreSQL) and Python.
• Solid understanding of ETL/ELT concepts and experience with pipeline orchestration tools like Apache Airflow and data transformation tools like dbt.
• Familiar with designing and building data pipelines and managing data flow.
• Comfortable with working with APIs and various third-party data sources.
• Experience with Docker for application deployment.
• Experience in setting up and configuring BI tools.
• Strong understanding of data governance, reproducibility, and quality assurance.
• Passionate about the F&B business domain, including inventory movement, sales, and marketing.
• Experience with modern data warehouse technologies like Google BigQuery.
• Strong problem-solving and documentation skills.
• Good communication skills and ability to work cross-functionally.

What’s your expected monthly basic salary?

Which of the following types of qualifications do you have?

How many years' experience do you have as a Data Engineer?

Which of the following Relational Database Management Systems (RDBMS) are you experienced with?

How many years' experience do you have using SQL queries?