Data Engineer

Explore exciting Data Engineer job opportunities in Jakarta . Data Engineers are in high demand, tasked with designing, building, and maintaining data pipelines and systems. These professionals play a crucial role in transforming raw data into usable information for analysis and decision-making, supporting business intelligence and data science initiatives.

Jakarta's job market offers diverse roles for Data Engineers, from entry-level positions to senior leadership roles. These positions involve working with big data technologies , cloud platforms , and various programming languages. Companies are seeking skilled individuals who can optimize data flow and ensure data quality, contributing to data-driven strategies.

Whether you're an experienced Data Engineer or a recent graduate, Jakarta presents a landscape of opportunities to advance your career. Key skills include proficiency in SQL , Python , ETL processes , and data warehousing solutions . Start your search today to find the perfect Data Engineer role that matches your skills and career aspirations in Jakarta .

Showing 186 Data Engineer jobs in Jakarta

Jakarta, Jakarta IDR - IDR Y Kredit Pintar

Posted 1 day ago

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

Job Description – Devoteam

The Data Engineer will be responsible for the following activities :

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

Programming Skills : Proficiency in programming languages such as 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 optimizing 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 utilizing 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 optimize 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.

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.

Job Requirements

Job Description – PT Intikom Berlian Mustika

Scope of Work – Data Engineer

Jika Anda merasa cocok atau memiliki referensi kandidat yang sesuai, silakan hubungi kami via WhatsApp :

SoftwareDeveloper #Hiring #Career #ITJobs #Java #SQL

Jenis Pekerjaan : Kontrak

Panjang kontrak : 12 bulan

Pertanyaan Lamaran :

Pendidikan :

Pengalaman :

Job Description – PT Astra Graphia Information Technology (AGIT)

Company Description – PT Mandiri Sekuritas

PT Mandiri Sekuritas (Mandiri Sekuritas / Company) has been awarded as Indonesia's Best Investment Bank and Best Broker by the FinanceAsia Country Awards 2022. These recognitions have established the Company's strong position as the Best Investment Bank in Indonesia for 12 consecutive years and Best Broker for 8 consecutive years. Established in 2000, Mandiri Sekuritas provides customers with comprehensive and value‑added capital market financial solutions. The Company obtained its business license as a securities broker and underwriter from Bapepam‑LK, demonstrating its commitment to excellence in financial services.

Role Description

This is a contract, on‑site role for a Data Engineer located in Jakarta. The Data Engineer will be responsible for designing, developing, and managing data pipelines and infrastructure. Daily tasks include data acquisition, processing, and storage solutions; implementing data workflows; optimizing performance of data‑centric systems; and ensuring data quality and consistency. Additionally, the Data Engineer will collaborate with other teams to integrate and utilize data effectively.

Qualifications

Job Description – Cube Asia

As a Data Engineer at Cube Asia, you will use various methods to transform raw data into useful data systems. You'll strive for efficiency by aligning data systems with business goals.

To succeed in this position, you should have prior experience in large‑scale public data collection from the web using open APIs and other tools, as well as a good understanding of the terms and guidelines, as well as the technical considerations, governing such data collection.

Data engineer skills also include familiarity with several programming languages and a basic knowledge of machine learning methods. If you are detail‑oriented, with excellent organizational skills and experience in this field, we’d like to hear from you.

Responsibilities

What You’ll Love About This Role

Requirements

Job Description – Accord Innovations

Hi #TalentReady, our client is looking for

Data Engineer (ETL)

for their project.

Full WFO at Jakarta Area | 12 Month Contract (PKWT) | Banking Industry

Requirements

Notes : Only shortlisted candidates will be contacted.

Job Description – Digital Finance Platform

On behalf of a fast‑growing digital finance platform, we are currently seeking a skilled and motivated

Data Engineer

to support the development of scalable data infrastructure and analytical capabilities. Based in Jakarta, this role will be instrumental in enabling data‑driven decision‑making across multiple product lines and markets in Southeast Asia.

You will collaborate closely with cross‑functional teams to design and implement efficient ETL pipelines, develop robust data models, and optimize data processing workflows to ensure high performance and cost‑efficiency in a high‑volume environment.

Key Responsibilities

Qualifications

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