25 jobs as Data Engineer in Indonesia (DKI Jakarta)

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Sr Officer-Data Engineer

PT. Indosat Tbk

Indonesia | DKI Jakarta

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Last updated 2 hours ago

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Sr Officer-Data Engineer

PT. Indosat Tbk

Indonesia | DKI Jakarta

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Last updated 2 hours ago

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Sr Officer-Data Monet Delivery Engineer

PT. Indosat Tbk

Indonesia | DKI Jakarta

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Data Scientist Tech Lead

Astra group

Indonesia | DKI Jakarta

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Last updated 5 hours ago

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Data Scientist - Contract-based

Astra group

Indonesia | DKI Jakarta

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Last updated 5 hours ago

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Data Engineer

Astra group

Indonesia | DKI Jakarta

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Last updated 5 hours ago

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CVM Data Science

PT XL Axiata Tbk

Indonesia | DKI Jakarta

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Last updated 1 week ago

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Senior Data Scientist

Gojek

Indonesia | DKI Jakarta

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Last updated 1 week ago

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Data Loss Prevention Engineer

PT. Intikom Berlian Mustika

Indonesia | DKI Jakarta

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Last updated 1 week ago

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Data Engineer

PT. Intikom Berlian Mustika

Indonesia | DKI Jakarta

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Last updated 1 week ago

Sr Officer-Data Engineer

PT. Indosat Tbk

PT. Indosat Tbk (Jakarta Metropolitan Area)

DKI Jakarta, Indonesia

Indosat Ooredoo Hutchison (IDX: ISAT) ("IOH"), are here with our vision to become the most preferred digital telecommunications company of Indonesia. The IOH merger combines two highly complementary businesses between PT Indosat Tbk (“Indosat Ooredoo”) and PT Hutchison 3 Indonesia to create a new world-class digital telecoms and internet company for Indonesia that can better compete and create additional value for all stakeholders, including employees, customers, and shareholders. Indosat Ooredoo Hutchison is now the second-largest mobile telecoms business in Indonesia. Indosat Ooredoo Hutchison will be guided by its corporate vision “To Become the Most Preferred Digital Telco of Indonesia” to capture the tremendous market opportunities presented by Indonesia’s digital and economic growth. The Company’s enhanced scale, financial strength, and expertise, combined with its preeminent networks, talent, and strategic partnerships, will enable Indosat Ooredoo Hutchison to become a key telco player driving Indonesia’s digital transformation agenda. The Company will focus on its core mission of delivering world-class digital experiences while connecting and empowering every Indonesian.

About this position

Responsible for developing, constructing, testing, and maintaining robust data pipelines and architectures that support the collection, storage, and processing of data. You will work closely with data scientists, analysts, and business teams to ensure that the data infrastructure is optimized for analytics and reporting, enabling data-driven decision-making across the organization.

Responsibilities

• Deliver & lead project services to customer
• Deliver services to customer as SoW successfully
• Conduct regular assessments of data engineer and identify areas for improvement.
• Prepare and present data engineer performance reports to stakeholders.
• Gather client feedback and use it to improve service delivery
• Develop processes for monitoring data quality and integrity across various systems and databases.
• Design, implement, and maintain scalable and reliable data pipelines to extract, transform, and load (ETL) large datasets from multiple sources.
• Optimize and automate data processes to handle high-volume, real-time, and batch data.
• Integrate data from various external and internal sources, ensuring that the data is accurate, accessible, and usable for downstream users.
• Work with different data storage solutions (e.g., relational databases, NoSQL databases, data lakes).
• Build and manage data warehouses, ensuring data integrity, consistency, and availability.
• Ensure that data models and structures are optimized for reporting and analytics use cases.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements and deliver relevant data solutions.
• Work closely with software engineers to design and implement data infrastructure solutions for applications.

Requirements

• Bachelor’s degree in Computer Science, Engineering, Information Systems, or related field. Master’s degree is a plus.
• Experience working with real-time data processing (e.g., Apache Kafka, Kinesis).
• Familiarity with machine learning and data science workflows.
• Cloud certifications (AWS Certified Solutions Architect, Microsoft Azure Data Engineer, etc.).
• 3+ years of experience as a Data Engineer, Data Analyst, or in a similar role.
• Experience with large-scale data processing and cloud-based data platforms (e.g., AWS, Azure, Google Cloud).
• Proficient in SQL and working knowledge of NoSQL databases (e.g., MongoDB, Cassandra, etc.).
• Experience with ETL frameworks and tools (e.g., Apache Airflow, Talend, Informatica).
• Familiarity with data warehousing technologies (e.g., Snowflake, Redshift, BigQuery).
• Understanding of data modeling and design patterns.
• Proficiency in Python, Java, Scala, or similar programming languages.
• Hands-on experience with distributed computing frameworks (e.g., Hadoop, Spark).
• Knowledge of version control systems (e.g., Git).
• Familiarity with data visualization and reporting tools (e.g., Tableau, Power BI) is a plus.