Data System Engineer

Pt Fan Integrasi Teknologi; Kota Bandung; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading technology firm in Indonesia is seeking a passionate Data Systems Engineer to build data-driven solutions. You will analyze complex datasets and develop automated ETL pipelines, supporting strategic business decisions. The ideal candidate has a degree in a related field and experience in data science and engineering. Excellent communication skills and proficiency in Python and SQL are crucial. This role offers opportunities to innovate and enhance business growth.

Qualifications

• 1–2 years of experience in Data Science, Data Engineering, or related fields.
• Strong analytical thinking and problem-solving skills.
• Experience in data collection through web scraping and APIs.

Responsibilities

• Compile, clean, and analyze datasets from multiple internal and external sources.
• Develop automated ETL pipelines to process both structured and unstructured data.
• Build dashboards and visualizations to communicate insights clearly to stakeholders.

Skills

Data Science

Data Engineering

SQL

Python

Data Visualization

ETL Development

Education

Bachelor's or Master's degree in Statistics, Applied Mathematics, Computer Science, or related field

Tools

Tableau

Power BI

Pandas

NumPy

Scikit-learn

TensorFlow

PyTorch

Job description

Job Description

We are seeking a passionate
Data Systems Engineer
who thrives on building data-driven solutions and uncovering insights that drive business growth. You will be responsible for collecting, processing, and analyzing complex datasets to support business decisions across multiple domains.

This role requires a combination of data engineering, analytical, and visualization skills to turn raw data into clear, actionable insights.

Responsibilities

• Understand the day-to-day issues our business faces and identify opportunities to improve decisions using data.
• Compile, clean, and analyze datasets from multiple internal and external sources.
• Develop automated ETL pipelines to process both structured and unstructured data.
• Perform web scraping and API-based data ingestion.
• Build dashboards and visualizations to communicate insights clearly to stakeholders.
• Support the creation and deployment of AI/ML-based products to solve business problems.

Qualifications

• Bachelor's or Master's degree in Statistics, Applied Mathematics, Computer Science, or a related field.
• 1–2 years of experience in Data Science, Data Engineering, or related fields.
• Proficient in relational databases and SQL.
• Experience with ETL tools and data pipeline development.
• Strong Python skills (Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch is a plus).
• Familiarity with data visualization tools (Tableau, Power BI).
• Experience in data collection through web scraping and APIs.

Preferred Attributes

• Strong analytical thinking and problem-solving skills.
• Curious and proactive in exploring data-driven solutions.
• Excellent communication skills and ability to simplify complex findings.