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Junior Etl Developer/Data Engineer

Indocyber Global Teknologi, Pt

Daerah Khusus Ibukota Jakarta

On-site

IDR 200.000.000 - 300.000.000

Full time

Today
Be an early applicant

Job summary

A leading technology company in Jakarta is seeking a Data Engineer to design and optimize ETL processes. Candidates should have a minimum of 2-3 years of experience, strong SQL skills, and hands-on experience with SSIS and Informatica PowerCenter. Knowledge of cloud-based ETL processes, especially in Google Cloud Platform, is essential. This position offers a salary range of IDR 8,000,000 - IDR 12,000,000 and is a full-time role.

Qualifications

  • Minimum 2-3 years of experience as an ETL Developer or Data Engineer.
  • Proven experience in ETL design, development, and optimization.
  • Hands-on experience with SSIS and Informatica PowerCenter (MANDATORY).
  • Strong proficiency in SQL and experience working with relational and NoSQL databases.
  • Knowledge of cloud-based ETL processes, preferably in Google Cloud Platform (GCP).
  • Experience in data integration, transformation, and data pipeline orchestration.

Skills

ETL Development
SQL
SSIS
Informatica PowerCenter
Cloud-based ETL processes (GCP)
Job description
Data Engineer – Indocyber Global Teknologi, PT

Jakarta, Jakarta IDR8000000 - IDR12000000 Y Indocyber Global Teknologi, PT

Posted 1 day ago

Job Description
  • Minimum 2-3 years of experience as an ETL Developer or Data Engineer.
  • Proven experience in ETL design, development, and optimization.
  • Hands‑on experience with SSIS and Informatica PowerCenter (MANDATORY).
  • Strong proficiency in SQL and experience working with relational and NoSQL databases.
  • Knowledge of cloud‑based ETL processes, preferably in Google Cloud Platform (GCP).
  • Experience in data integration, transformation, and data pipeline orchestration.
Data Engineer – Indocyber Global Teknologi, PT (Bronze Level)

Jakarta, Jakarta IDR8000000 - IDR12000000 Y Indocyber Global Teknologi, PT

Posted 1 day ago

Job Description
  • Minimum 1-2 years of experience as an ETL Developer or Data Engineer.
  • Proven experience in ETL design, development, and optimization.
  • Hands‑on experience with Amazon Web Services (AWS) (MANDATORY).
  • Strong proficiency in SQL and experience working with relational and NoSQL databases.
  • Experience in data integration, transformation, and data pipeline orchestration.
Data Integration & Governance Specialist – Prospera (DT Global)

Jakarta, Jakarta IDR120000000 - IDR250000000 Y DT Global

Posted 1 day ago

Job Description

Ad Title:
Data Integration & Governance Specialist

Program Background
Prospera is an eight‑year programme building on two decades of Australia's support for economic governance in Indonesia. Prospera incorporates 15 Australian Government agencies and over 200 expert advisers and programme staff from diverse backgrounds. Prospera also collaborates closely with the Katalis programme to realise the benefits of the Indonesia‑Australia Comprehensive Economic Partnership Agreement.

Prospera's goal is to contribute to strong, sustainable, and inclusive economic growth in Indonesia through three breakthrough outcomes:

  • Expanding markets creating jobs: Building a robust private sector that creates more high value jobs.
  • Safeguarding economic and financial stability: Ensuring a strong foundation for sustainable and inclusive growth.
  • Improving public finances and government performance: Enabling a modern, effective and responsible public sector.

Underpinning these breakthrough areas are three enablers: capable and coordinated institutions that support Indonesia's development transition; gender equality and disability inclusion are advanced; and government of Indonesia and Australia partnerships strengthen.

Prospera commenced in March 2018 and will conclude in February 2026.

About DT Global Asia Pacific
At DT Global Asia Pacific, we aim to positively impact people's lives through delivery excellence. As a leading implementing partner across Asia and the Pacific, we co‑create locally led solutions in partnership with governments, communities, and stakeholders. We bring together talented teams and deep regional expertise to deliver initiatives that promote inclusive economic growth, essential services, and resilient, secure communities. With over 1,500 staff, experts in 22+ countries and more than 60 years of development experience, we tackle complex community, national and transnational challenges — from governance and justice systems to climate resilience, infrastructure and social equity — with innovative thinking and a commitment to long‑term impact.

For more information, please see

Role
Prospera is seeking the services of a Data Integration & Governance Specialist to collaborate with key counterparts in the Government of Indonesia (GoI) responsible for managing the rollout and utilisation of the National Social and Economic Single Data (DTSEN). The consultant will support Prospera, and key counterparts – including Statistics Indonesia, Bappenas, the National Economic Council (DEN), the Ministry of Social Affairs (MoSA), and the Ministry of Communications and Digital Affairs (Komdigi) – in ensuring successful delivery of project objectives and key deliverables.

President Prabowo Subianto has announced the establishment of a unified, by‑name‑by‑address (BNBA) database on individual and household socioeconomic conditions — Data Tunggal Sosial Ekonomi Nasional/ the National Social and Economic Single Data (DTSEN) — through the issuance of Presidential Instruction No. 4/2025. This initiative mandates 18 ministries and agencies to engage across the DTSEN data lifecycle, with Statistics Indonesia (Badan Pusat Statistik – BPS) designated as the lead agency responsible for integrating the three foundational datasets: Socio‑Economic Registration (Regsosek), Integrated Social Welfare Database (DTKS), and Targeting Database for the Acceleration of Extreme Poverty Eradication (P3KE). BPS is mandated to integrate these datasets and share the resulting DTSEN data with the Ministry of Social Affairs (MoSA), the Coordinating Ministry for Community Empowerment (Kemenko PM), and the Ministry of National Development Planning (Bappenas). These three agencies – in coordination with the National Economic Council (DEN) – are also working to ensure that the integrated data is utilised in the upcoming pilot of digital social assistance delivery.

To support the above effort, Prospera will contract a consulting firm to support its key counterparts in the Government of Indonesia (GoI) responsible for managing DTSEN, including BPS, Bappenas, the National Economic Council (DEN), the Ministry of Social Affairs (MoSA), and the Ministry of Communications and Digital Affairs (Komdigi). The firm will play a pivotal role in conducting a comprehensive assessment of the current data governance landscape for DTSEN, including a review of the institutional arrangements, legal framework, mandates, and operational procedures that underpin its governance. The Data Integration & Governance Specialist will work closely with Prospera, BPS and GOI counterparts, and the selected firm.

Click on the link or copy paste it to access the full Terms of Reference for this position:

About You
The successful candidate shall be able to demonstrate to have the following skills, experience, and qualifications:

  • Postgraduate degree in a relevant field such as data science, public policy/administration, information systems, economics, or other related areas.
  • Minimum of 8 years' relevant work experience in data governance and evidence‑based policy analysis, with demonstrated experience in data architecture review, metadata management, and data integration. Relevant experience in utilising integrated data for social assistance delivery is an advantage.
  • Demonstrated understanding of Indonesia's regulatory and institutional landscape on data governance, including familiarity with regulations, policies, and guidelines relevant to data integration, sharing, privacy, and security.
  • Familiarity with international benchmarks and best practices in data governance, and their application in comparable contexts within Indonesia's regulatory and institutional settings.
  • Strong track record of liaising with and influencing senior government stakeholders, building trust, and facilitating inter‑agency coordination.
  • Excellent written and oral communication skills in both Bahasa Indonesia and English, including the ability to prepare high‑quality reports and presentation as well as policy briefs.

Why join Prospera?
By joining the Prospera, you will be part of a high‑performing, innovative and collaborative team that provides analysis and advice on key policy areas in support of strong, sustainable, and inclusive economic growth in Indonesia.

How to Apply
Click the 'Apply Now' button.

Please submit
Your CV
A cover letter addresses the selection criteria

To be combined in one file name that is no more than three pages with subject :
Data Integration & Governance Specialist
APPLICATIONS CLOSE 9 October 2025, 23:59 - Western Indonesia Time
Should this role be of interest, we encourage you to apply as soon as possible. Kindly note only shortlisted applicants will be contacted.

DT Global is committed to child protection and safeguarding the welfare of children in the delivery of our international development programs. We are committed to Safety and the Prevention of Sexual Abuse and Harassment (PSEAH), and bribery prevention. DT Global is an equal opportunity employer and we encourage women, men, people with diverse backgrounds and people living with disabilities to apply. This program is funded by the Australian Government and Managed by DT Global.

Head Of Data Integration Management – Talent Insider (PT. Talent Insider)

Jakarta, Jakarta IDR15000000 - IDR20000000 Y Talent Insider

Posted 1 day ago

Job Description

About the Company:
Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand.
Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.

Job Description:
Define And Implement Data Management Strategy And Methods By Which The Organization Acquires, Analyses, Governs, And Manages Data.
Integrating The Old Data Infrastructure From The Old Core Core Banking.
Establish A Robust Data Architecture To Accommodate Evolving Regulatory Requirements Flexible Enough To Support A Wide Range Of Future Growth Initiatives.
Bridge The Gap Between IT & Core Functions Of The Organisation By Aligning Expertise In Core Functions With Well‑defined Information Infrastructure.

Job Requirements:
Bachelor's degree or above, preferably in Computer Science, Statistics or Mathematics.
10 years of working IT experience in the financial industry and 3 years of related management experience.
Good data management experience in Data Strategy, Data Governance, Data Architecture, Data Analytics.
Experienced with Data Science technology such as Machine Learning, Python, R, Automation, Tableau, PowerBI, Spark, Kafka, SQL etc.
Knowledge of leveraging data management and analysis on cloud platform.
Experienced in managing data management projects and implementation of data management systems.

Head Of Data Integration Management – Talent Insider (PT. Talent Insider)

Jakarta, Jakarta IDR20000000 - IDR25000000 Y Talent Insider

Posted 1 day ago

Job Description

Talent Insider is an upcoming HR Consultancy Service, founded in 2021. Our clients have been some of the leading brands in Indonesia, and this service continues to expand.
Registered in Singapore & Indonesia, we can assist with your growth plans and strategies, and continue to expand our regional presence with strong regional partners to assist our client in recruitment and branding strategy.

Job Description:
Define And Implement Data Management Strategy And Methods By Which The Organization Acquires, Analyses, Governs, And Manages Data.
Integrating The Old Data Infrastructure From The Old Core Core Banking.
Establish A Robust Data Architecture To Accommodate Evolving Regulatory Requirements Flexible Enough To Support A Wide Range Of Future Growth Initiatives.
Bridge The Gap Between IT & Core Functions Of The Organisation By Aligning Expertise In Core Functions With Well‑defined Information Infrastructure.

Requirement:
Bachelor's degree or above, preferably in Computer Science, Statistics or Mathematics.
10 years of working IT experience in the financial industry and 3 years of related management experience.
Good data management experience in Data Strategy, Data Governance, Data Architecture, Data Analytics.
Experienced with Data Science technology such as Machine Learning, Python, R, Automation, Tableau, PowerBI, Spark, Kafka, SQL etc.
Knowledge of leveraging data management and analysis on cloud platform.
Experienced in managing data management projects and implementation of data management systems.

Job Responsibilities – Kredit Pintar

Job Responsibilities

  • Participate in the construction and development of data warehouses for financial projects, design models according to business requirements, and implement ETL.
  • Provide data report support for business departments.
  • Participate in optimizing ETL to improve code efficiency and reduce costs.

Job Qualifications

  • Proficient in Spark, able to develop in Python and Scala, with good experience in performance tuning;
  • Familiar with various data warehouse modeling theories, proficient in data model design and data layer design;
  • Priority will be given to those with Tableau development experience;
  • Priority will be given to those with a background in finance and e‑commerce projects;
  • Diligent, responsible, meticulous, with good team spirit, analytical skills, and communication skills.
  • Spark;
  • Phyton;
  • Scala;
Data Engineer – PT Intikom Berlian Mustika

Scope of Work – Data Engineer

  • Mengeksplorasi database DI/DX (data pipelines, ETL, integrasi data).
  • Mengeksplorasi dan, jika diperlukan, mengembangkan Datamart untuk mendukung kebutuhan bisnis terkait DI/DX.
  • Menangani permintaan ad-hoc untuk query, ekstraksi data, dan persiapan data terkait DI/DX.
  • Melakukan validasi pada data yang diekstrak untuk memastikan kualitas dan keandalan terkait DI/DX.
  • Memastikan konsistensi dan aksesibilitas data bagi pemangku kepentingan DXO terkait DI/DX.

Jenis Pekerjaan: Kontrak
Panjang kontrak: 12 bulan

Pertanyaan Lamaran:

  • Berapa usia kamu saat ini ?
  • apakah kamu Memiliki pengalaman kerja dalam membangun dan mengelola data pipelines, ETL, dan integrasi data?
  • apakah Kamu Menguasai SQL serta tools/teknologi terkait Data Warehouse dan Datamart?

Pendidikan:

  • S1 (Diutamakan)

Pengalaman:

  • Data Engineer: 4 tahun (Diutamakan)
Data Engineer – Devoteam

Devoteam is a leading consulting firm focused on digital strategy, tech platforms, and cybersecurity. The Data Engineer will be responsible for the following activities:

  • Work closely with data architects and other stakeholders to design scalable and robust data architectures that meet the organization's requirements.
  • Develop and maintain data pipelines, which involve the extraction of data from various sources, data transformation to ensure quality and consistency, and loading the processed data into data warehouses or other storage systems.
  • Responsible for managing data warehouses and data lakes, ensuring their performance, scalability, and security.
  • Integrate data from different sources, such as databases, APIs, and external systems, to create unified and comprehensive datasets.
  • Perform data transformations and implement Extract, Transform, Load (ETL) processes to convert raw data into formats suitable for analysis and reporting.
  • Collaborate with data scientists, analysts, and other stakeholders to establish data quality standards and implement data governance practices.
  • Optimise data processing and storage systems for performance and scalability.

Collaborate with cross‑functional teams, including data scientists, analysts, and business stakeholders, to understand data requirements and deliver solutions.

Programming Skills: Proficiency in Python, Java, Scala or SQL is essential for data engineering roles. Data engineers should have experience in writing efficient and optimized code for data processing, transformation, and integration.

Database Knowledge: Strong knowledge of relational databases (e.g., SQL) and experience with database management systems (DBMS) is crucial. Familiarity with data modeling, schema design and query optimization is important for building efficient data storage and retrieval systems.

Big Data Technologies: Understanding and experience with big data technologies such as Apache Hadoop, Apache Spark, or Apache Kafka is highly beneficial. Knowledge of distributed computing and parallel processing frameworks is valuable for handling large‑scale data processing.

ETL and Data Integration: Proficiency in Extract, Transform, Load (ETL) processes and experience with data integration tools like Apache NiFi, Talend, or Informatica is desirable. Knowledge of data transformation techniques and data quality principles is important for ensuring accurate and reliable data.

Data Warehousing: Familiarity with data warehousing concepts and experience with popular data warehousing platforms like Amazon Redshift, Google BigQuery or Snowflake is advantageous. Understanding dimensional modeling and experience in designing and optimising data warehouses is beneficial.

Cloud Platforms: Knowledge of cloud computing platforms such as Amazon Web Services (AWS), Microsoft Azure or Google Cloud Platform (GCP) is increasingly important. Experience in deploying data engineering solutions in the cloud and utilising cloud‑based data services is valuable.

Data Pipelines and Workflow Tools: Experience with data pipeline and workflow management tools such as Apache Airflow, Luigi or Apache Oozie is beneficial. Understanding how to design, schedule and monitor data workflows is essential for efficient data processing.

Problem‑Solving and Analytical Skills: Data engineers should have strong problem‑solving abilities and analytical thinking to identify data‑related issues, troubleshoot problems, and optimise data processing workflows.

Communication and Collaboration: Effective communication and collaboration skills are crucial for working with cross‑functional teams, including data scientists, analysts, and business stakeholders. Data engineers should be able to translate technical concepts into clear and understandable terms.

Education and Experience
Bachelor's degree in Engineering required.

  • Minimum Two years of related experience is highly preferred.
  • Two certifications in GCP (within 3 months after joining).

Status: Full-Time

Duration: –

The Devoteam Group is committed to equal opportunities, promoting its employees on the basis of merit and actively fighting against all forms of discrimination. We believe that diversity contributes to the creativity, dynamism, and excellence of our organization. All our positions are open to people with disabilities.

Data Engineer – (Unnamed) 

a. Minimum 3 years as Data Engineer.

b. Experience in writing SQL query, SQL function and SQL procedure is mandatory.

c. Experience in Java development of API is an advantage.

d. Have experience in SSRS reporting, PowerBI analytic, Google Big Query, ETL & data pipeline is mandatory.

e. Have knowledge and experience in data science with Python is an advantage.

Job Responsibilities – (Unnamed) 

Pick up the necessary details from the job description. (This section was kept for completeness.)

Job Description – (Unnamed) 

Job Responsibilities

  • Participate in the construction and development of data warehouses for financial projects, design models according to business requirements, and implement ETL.
  • Provide data report support for business departments.
  • Participate in optimizing ETL to improve code efficiency and reduce costs.

Job Qualifications

  • Proficient in Spark, Python, Scala.
  • Familiarity with data warehouse modeling.
  • Experience in Tableau development.
  • Background in finance and e‑commerce projects.
  • Diligent, responsible, meticulous, good team spirit, analytical skills, communication skills.
  • Spark, Phyton, Scala.
Job Description – (Unnamed)  (Appendix)

Any additional job specific details retained for completeness.

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