Company Description

At NISA.ai, we redefine data-driven decision-making and innovation with cutting-edge Agentic AI technology. Our flagship AI solution, NISA (Neural Interactive Systematic Assistant), empowers organizations with unparalleled capabilities in data exploration, analytics, and intelligent automation. Founded by visionary technology leader Rafael Ibrahim, NISA.ai brings together a global team of experts committed to shaping the future of AI-driven collaboration and education. Leveraging the success of AJARI Technologies, NISA.ai is a dedicated subsidiary focused on maximizing NISA’s potential.

Role Description

This is a full-time on-site role for a Data Engineer located in the Jakarta Metropolitan Area. The Data Engineer will be responsible for designing, implementing, and maintaining scalable data pipelines and ETL processes. Day-to-day tasks include data modeling, building data warehousing solutions, and conducting data analytics to support various business needs.

Responsibilities

• Design, build, and maintain scalable and efficient ETL/ELT pipelines across various data sources.
• Develop and manage data architectures, including data lakes and data warehouses.
• Collaborate with product, analytics, and engineering teams to gather requirements and deliver data solutions.
• Ensure data quality, security, and compliance with internal and external policies.
• Support the integration of third-party data platforms and APIs.
• Continuously improve data workflows and infrastructure for scalability and performance.
• Monitor data systems and resolve data-related issues in a timely manner.

Qualification

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, or a related field.
• 2+ years of experience as a Data Engineer or in a similar role.
• Proficiency in SQL and at least one programming language (preferably Python).
• Hands-on experience with cloud platforms (AWS, GCP, or Azure).
• Familiarity with modern data stack tools (e.g., dbt, Airflow, Snowflake, BigQuery, or Redshift).
• Knowledge of data modeling, ETL design patterns, and pipeline orchestration.
• Strong problem-solving skills, attention to detail, and a proactive mindset.
• Fluent in English is preferred.