Cloud Data Engineer – Banking (GCP, Airflow, BigQuery)

PT. SIGMA GLOBAL TEKNOLOGI (SIGMATECH); Jakarta Utara; On-site; IDR 279,000,000 - 502,200,000; Full time

Benefits offered by this job

Medical

Allowance

Salary

THR

BPJS

Leaves

Job summary

PT. SIGMA GLOBAL TEKNOLOGI (SIGMATECH) seeks a Cloud Data Engineer to design and operate cloud-based data solutions for its financial services clients in Jakarta.

You will contribute to data pipelines, orchestration, and analytics using GCP, Airflow, and BigQuery. The ideal candidate has at least 3 years of experience, a Bachelor’s degree, strong Python and SQL skills, and a solid understanding of ETL/ELT and data warehousing.

Qualifications

• Minimum 3 years of experience as a Cloud Data Engineer or related role.
• Experience in Banking / Financial Services is mandatory.
• Strong experience in designing and managing cloud-based data solutions.
• Hands-on with GCP, especially Cloud Composer, BigQuery, Apache Airflow.
• Proficient in Python for data engineering and automation.
• Strong SQL skills including query optimization.
• Good knowledge of ETL/ELT, data integration, and data pipeline architecture.
• Familiar with cloud-based data warehouse concepts and best practices.
• Strong analytical, problem-solving, and troubleshooting abilities.
• Excellent communication and collaboration skills.

Skills

Python for data engineering

SQL proficiency

Data pipeline development

Airflow / Cloud Composer

Cloud engineering

Analytical problem solving

Communication & collaboration

Education

Bachelor’s degree in Computer Science / IT / IS

Tools

Google Cloud Platform (GCP)

BigQuery

Apache Airflow

Cloud Composer

Job description

PT. SIGMA GLOBAL TEKNOLOGI (SIGMATECH) seeks a Cloud Data Engineer to design and operate cloud-based data solutions for its financial services clients in Jakarta.

You will contribute to data pipelines, orchestration, and analytics using GCP, Airflow, and BigQuery. The ideal candidate has at least 3 years of experience, a Bachelor’s degree, strong Python and SQL skills, and a solid understanding of ETL/ELT and data warehousing.