Data Engineer — Build Pipelines, Quality & Insights

PT. Akhdani Reka Solusi; Jakarta Pusat; On-site; IDR 200,000,000 - 350,000,000; Full time

Job summary

PT. Akhdani Reka Solusi is seeking a data engineer to develop, optimize, and manage data pipelines using SQL and ETL processes. The role focuses on extracting data from multiple sources, integrating it for business analytics, and handling large-scale datasets within a secure environment.

The candidate will ensure data quality and collaborate with business and product teams to deliver insights supporting customer relationship management and lifecycle marketing initiatives.

Qualifications

• Bachelor’s degree required in CS/IT/IS/Data Science or related field.
• Minimum 3 years of professional Data Engineering experience; banking/financial services is a strong advantage.
• Strong SQL and ETL proficiency; Cloudera Hadoop experience is a plus.
• Strong analytical skills with attention to detail; ability to translate data insights for stakeholders.
• Ability to translate complex data insights into actionable recommendations.

Responsibilities

• Develop, maintain, and optimize data pipelines using SQL and ETL processes.
• Extract, transform, and integrate data from multiple sources to support business and analytical needs.
• Manage and process large-scale datasets within a secure data environment.
• Ensure data quality, accuracy, and consistency to support reliable reporting and analysis.
• Collaborate with business and product teams to deliver actionable data insights for CRM and lifecycle marketing.

Skills

SQL proficiency

Analytical thinking

Attention to detail

Communication

Education

Bachelor’s degree in CS/IT/IS/Data Science

Tools

ETL tools

Cloudera Hadoop

Job description

PT. Akhdani Reka Solusi is seeking a data engineer to develop, optimize, and manage data pipelines using SQL and ETL processes. The role focuses on extracting data from multiple sources, integrating it for business analytics, and handling large-scale datasets within a secure environment.

The candidate will ensure data quality and collaborate with business and product teams to deliver insights supporting customer relationship management and lifecycle marketing initiatives.