Data Engineer jobs in Indonesia

Job Description:
Perform application system development related to Realtime Engine System, Big Data.

• Ensure that the development process is in accordance with the timeline
• Follow / comply with applicable application system development policies and procedures

Technical Requirements:

• Application system development (familiar with SAS, Java, .Net, SQL, SSIS/ETL, Oracle, etc)
• Having some Analytic tools skill such as R , Python are advantages

Requirements:

• Minimum Bachelor Degree (S1) Majoring Computer Science, preferably reputable university
• Minimum 1 year experienced
• Willing to located in Bintaro

To design, build, and maintain scalable and reliable data infrastructure that enables efficient data collection, storage, and processing across the organization. The Data Engineer plays a crucial role in developing data pipelines, ensuring data quality and integrity, and supporting analytics and machine learning initiatives by making clean, well-structured data accessible to stakeholders and data teams.

Responsibilities

• Integrate and perform comprehensive testing during solution deployment to ensure system reliability and performance.
• Design the technical architecture of proposed solutions and collaborate with other IT teams for development and implementation.
• Proactively monitor and troubleshoot operational data processes to ensure smooth and timely execution.
• Identify and implement solutions to improve efficiency, prevent issues, and enhance data processing and quality.
• Research and propose new technologies or methods for more reliable and scalable data processing.
• Prepare clear and detailed documentation for data architecture, schemas, procedures, and process workflows.

Qualifications

• Bachelor in Computer Science, Information Technology, or relevant disciplines from a top university
• Minimum 1 year of working experience as a Data Engineer or ETL Developer
• Strong analytical skills & high sense of logical thinking
• Experience developing data warehouse schemas with OWB, ODI, or other enterprise ETL technologies
• Have expertise and experience with a cloud solution, preferably a GCP Platform.
• Able to work individually as well as in a team
• Willing to work onsite & fulltime in Bintaro, Tangerang Selatan

We are seeking a highly skilled and experienced Expert, Data Lake Engineer to actively involve in the design, implementation, and maintenance of our enterprise-grade data lake infrastructure. This role is critical in enabling advanced analytics, data science, and AI/ML initiatives by ensuring robust data ingestion, storage, and processing capabilities.

Key Responsibilities

Data Acquisition & Structuring:

• Extract and consolidate data from diverse primary (SAP) and secondary sources. Reorganize and format data to support downstream analytics, machine learning, and AI workflows.

Data Lake Operations:

• Oversee daily operations related to data collection, storage, and processing. Architect and maintain scalable data lake solutions using modern technologies and best practices.
• Design and implement ETL/ELT pipelines. Ensure high performance, reliability, and scalability of data systems, including batch data and/or near real-time data. Monitor pipeline health and perform warehouse cleansing to maintain data integrity.

System Monitoring & Optimization:

• Continuously monitor system performance and stability. Troubleshoot issues, optimize resource usage, and ensure seamless data flow across platforms.

Job Requirements

• 7–12 years of hands‑on experience in data lake implementation and operations.
• Proven track record in designing and deploying data lake architectures, topologies, and infrastructures.

Technical Expertise

• Strong proficiency in ETL/ELT pipeline development. Experience with SAP HANA is a plus.
• Deep understanding of data lake technologies and deployment tools, including but not limited to: Cloudera, Hadoop, Spark, Kafka, Airflow, Dremio.

Soft Skills & Passion

• Passionate about data processing and engineering excellence.
• Strong problem‑solving skills and ability to work collaboratively in cross‑functional teams.

Why Join Us?

• Be part of a forward‑thinking team driving innovation in data and AI.
• Work on impactful projects that shape business decisions and operational efficiency.
• Enjoy a dynamic work environment with opportunities for growth and learning.

We're looking for a Data Engineer to join our consulting team and work directly with clients on the design, development, and optimization of data pipelines, ETL workflows, and data warehouses. This role is ideal for someone who enjoys solving complex data challenges while collaborating closely with stakeholders.

Key Responsibilities

• Engage directly with customers to understand business requirements and translate them into technical data solutions.
• Design, build, and maintain data ingestion and ETL pipelines to support analytics and reporting.
• Implement data warehouse solutions following Star Schema best practices.
• Develop and orchestrate workflows using Azure Data Factory and/or Microsoft Fabric.
• Leverage SSIS (SQL Server Integration Services) for ETL and SSAS (SQL Server Analysis Services) for analytical modeling.
• Build and manage data solutions in Snowflake.
• Monitor, troubleshoot, and optimize pipelines for performance and reliability.
• Provide technical guidance and best practices to clients and internal teams.

Required Skills & Qualifications

• 1+ years of experience as a Data Engineer or in a similar data‑focused role.
• Strong experience with ETL processes, data pipelines, and data ingestion.
• Solid understanding of data warehouse design, particularly Star Schema modeling.
• Hands‑on experience with Azure Data Factory and/or Microsoft Fabric.
• Proficiency with SSIS and SSAS.
• Experience working with Snowflake.
• Strong SQL skills and understanding of relational database concepts.
• Excellent communication skills for engaging with customers and translating requirements into solutions.

Nice to Have

• Consulting or client‑facing project experience.
• Exposure to BI tools (Power BI, Tableau) and data governance practices.
• Knowledge of cloud platforms beyond Azure (AWS, GCP).

PT Mitra Solusi Telematika (MST) is seeking a passionate Data Engineer to join our dynamic technology team in Jakarta.

Job Description

Your primary responsibilities will include:

• Data Integration: Collaborate with cross‑functional teams to gather data requirements and develop ETL processes for seamless data integration.
• Performance Optimization: Continuously monitor and enhance the performance of data warehousing solutions, ensuring scalability and efficiency.
• Data Modeling: Design and implement data models that meet business objectives and adhere to best practices.
• Data Governance: Implement data governance and security measures to ensure data quality and compliance with regulatory standards.
• Documentation: Maintain clear and concise documentation of data pipelines, processes, and configurations.

Qualifications

• Bachelor's degree in computer science, data science, software engineering, information systems, or related field.
• Minimum 3+ years of experience as Data Engineer.
• Proficient in programming languages such as R, SQL, ETL, Python, and C++.
• Have knowledge of visualization tools such as Power BI, Tableau.
• Currently has or is considering pursuing relevant certifications.
• AWS Data Engineer/AWS Cloud Engineer certification is highly preferred for this role.
• Possess strong communication skills and proactive attitude, as well as great teamwork traits.
• Willing to be placed in Jakarta for 6 months contract with hybrid terms.

At Insignia, we're looking for a Mid-Level Data Engineer with proven experience in AWS and a track record of building reliable, scalable data pipelines.

What You'll Do

• Design, build, and maintain scalable data pipelines on AWS.
• Model and structure data for analytics, reporting, and ML‑readiness.
• Optimize data storage, query performance, and cost‑efficiency across cloud services.
• Collaborate with internal teams to understand data needs and deliver robust solutions.
• Implement data quality checks, monitoring, and documentation.
• Automate workflows using Glue, Lambda, Step Functions, or Airflow.
• Support secure access, governance, and compliance across data systems.

Who You Are

• 2–4 years of experience in data engineering, preferably in a tech‑driven or digital service environment.
• Strong hands‑on experience with AWS data & compute services (S3, Glue, Redshift, EC2, Lambda, etc.).
• Proficient in SQL, Python, and data modeling (star schema, medallion architecture, etc.).
• Experience with ETL/ELT pipelines, workflow orchestration (e.g., Airflow, Step Functions), and CI/CD for data.
• Bonus: Familiarity with data lakehouses, CDC, real‑time streaming (Kinesis), or MLOps integration.

Our client is a web and mobile applications developer. We help our clients to optimize their digital presence by building customized technology solutions, from e‑commerce to e‑learning, from corporate website to sophisticated asset integrity management systems.

Qualifications

• Proven experience as a Data Engineer or similar role with a strong track record of designing and implementing data solutions.
• Proficiency in programming languages such as Python (primary), Java, or Scala.
• Hands‑on experience with stream processing and CDC pipelines, particularly using Apache Kafka.
• Experience with analytical databases and real‑time data warehouses, especially RisingWave and ClickHouse.
• Solid understanding of database concepts (SQL & NoSQL), including query optimization for high‑performance analytics.
• Familiarity with data ingestion pipelines, ETL/ELT processes, and system integrations.
• Strong knowledge of data modeling, partitioning, and schema evolution in streaming/analytical environments.

Requirements

• Bachelor's degree in Computer Science, Engineering, or a related field.
• Experience with cloud platforms (AWS, GCP, or Azure) and services such as S3, BigQuery, Redshift, EMR, or EC2.
• Familiarity with observability and monitoring tools (e.g., Grafana, Prometheus, Kibana) for data pipeline monitoring.
• Experience in performance tuning for highly concurrent workloads.
• Basic understanding of data governance, security, and compliance practices.
• Contract based.