Cloud Data Engineer

PT SMART,Tbk; Jakarta Selatan; On-site; IDR 279,000,000 - 502,200,000; Full time

Job summary

PT SMART Tbk is seeking an experienced Cloud Data Engineer to design, build, and optimize scalable data pipelines in cloud environments. You will work with data science and analytics teams to enable BI and data-driven decisions, leveraging AI-powered tools to boost productivity and automate repetitive tasks.

The role emphasizes strong ETL/ELT development, data warehousing, SQL, and Python expertise, with cloud experience on AWS.

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Information Systems, or a related field.
• Minimum 4 years of professional working experience as a Data Engineer with hands-on ETL/ELT data pipelines.
• Strong understanding of Data Warehouse concepts, architecture, data modelling, and data integration processes.
• Strong proficiency in SQL, including complex queries, query optimization, and ETL stored procedure development.
• Good programming skills in Python for data processing, transformation, and automation.
• Hands-on experience with at least one major cloud platform (AWS).
• Familiarity with AI-powered tools to improve development efficiency.

Responsibilities

• Design, develop, implement, and maintain robust ETL/ELT data pipelines to support enterprise data integration and analytics requirements.
• Develop and optimize SQL queries, complex stored procedures, and database processes for extraction, transformation, and loading.
• Design, build, and maintain Data Warehouse solutions, including data models and data integration workflows.
• Develop and maintain data processing scripts using Python.
• Implement and manage data pipelines on cloud platforms, mainly AWS and Microsoft Fabric.
• Monitor, troubleshoot, and optimize data pipelines for data quality and performance.
• Collaborate with cross-functional teams to translate business requirements into technical data solutions.
• Apply best practices in data engineering, including data security, governance, and automation.
• Leverage AI-powered development tools to accelerate coding and troubleshooting.
• Continuously explore and recommend new technologies to improve data engineering capabilities.

Skills

ETL/ELT development

SQL programming

Python development

Cloud platforms

Data warehousing concepts

Data modelling

AI coding tools

Education

Bachelor's degree in Computer Science / IT / Information Systems

Tools

Talend

SSIS

Apache Airflow

GitHub Copilot

Job description

We are looking for an experienced and highly motivated Cloud Data Engineer to join our Data Engineering team. The ideal candidate will be responsible for designing, developing, implementing, and maintaining scalable and reliable data pipelines in cloud environments.

The candidate should have strong hands-on experience in ETL/ELT development, Data Warehouse architecture, SQL programming, and Python development. You will work closely with data science, data analysts, and other technology teams to build and optimize data integration processes that support business intelligence, analytics, and data-driven decision-making.

We are also looking for someone who is comfortable leveraging AI-powered tools to improve development productivity, automate repetitive tasks, and enhance overall engineering efficiency.

Key Responsibilities

• Design, develop, implement, and maintain robust ETL/ELT data pipelines to support enterprise data integration and analytics requirements.
• Develop and optimize SQL queries, complex stored procedures, and database processes to ensure efficient data extraction, transformation, and loading.
• Design, build, and maintain Data Warehouse solutions, including data models, data structures, and data integration workflows.
• Develop and maintain data processing scripts and automation using Python programming language.
• Implement and manage data pipelines and data solutions on cloud platforms, mainly AWS and Microsoft Fabric.
• Monitor, troubleshoot, and optimize data pipelines to ensure data quality, reliability, performance, and availability.
• Collaborate with cross-functional teams to understand business requirements and translate them into effective technical data solutions.
• Apply best practices in data engineering, including data security, governance, performance optimization, and process automation.
• Leverage AI-powered development tools to accelerate coding, troubleshooting, documentation, and data engineering activities.
• Continuously explore and recommend new technologies, tools, and approaches to improve the organization’s data engineering capabilities.

Requirements & Qualifications

• Bachelor's degree in Computer Science, Information Technology, Information Systems, or a related field.
• Minimum 4 years of professional working experience as a Data Engineer, with hands-on experience in developing and managing ETL/ELT data pipelines.
• Strong understanding of Data Warehouse concepts, architecture, data modelling, and data integration processes.
• Strong proficiency in SQL, including complex queries, query optimization, and ETL stored procedure development.
• Good programming skills in Python, particularly for data processing, transformation, and automation.
• Hands-on experience working with at least one major cloud platform:
• Amazon Web Services (AWS)
• Familiarity with cloud-based data services, data storage, and data processing technologies.
• Ability and willingness to leverage AI-powered tools (e.g., Kiro, GitHub Copilot, or similar AI coding assistants) to improve development efficiency and productivity.
• Strong analytical and problem-solving skills, with the ability to troubleshoot complex technical issues.
• Good communication skills and the ability to work independently as well as collaboratively within a team.

Preferred / Added Advantages

• Experience working with cloud-based Data Warehouse platforms such as Amazon Redshift, Microsoft Fabric
• Familiarity with workflow orchestration and scheduling tools such as Apache Airflow or similar platforms.
• Experience with big data technologies and distributed data processing frameworks such as Apache Hadoop or Apache Spark.
• Familiarity with Git, version control, and CI/CD practices for data engineering development.
• Experience implementing data quality monitoring and automated data validation processes.
• Hands-on experience with ETL tools such as Talend or Microsoft SQL Server Integration Services (SSIS).

PT SMART Tbk (SMART) is one of the largest, publicly-listed, integrated palm-based consumer companies in Indonesia committed to sustainable palm oil production.

SMART’s palm oil plantations cover more than 138,000 hectares (including smallholder farmers). Our primary activities are cultivating and harvesting oil palms, processing fresh fruit bunches (FFBs) into crude palm oil (CPO) and palm kernel, and refining CPO into value-added products such as cooking oil, margarine, and shortening. We operate 16 mills, four kernel crushing plants and four refineries across Indonesia.

Besides bulk and industrial oil, SMART’s refined products are also marketed under several brands such as Filma and Kunci Mas. Today, these brands have been recognised for their high quality and command significant market share in their respective segment in Indonesia.

Founded in 1962, SMART was listed on the Indonesia Stock Exchange in 1992 and is based in Jakarta. A subsidiary of Golden Agri-Resources (GAR), SMART has the oleochemical business, Sinarmas Oleochemical (PT SOCI MAS) and the SMART Research Institute (SMARTRI) within its operations.