Sr. Officer-Data Engineer

Pt. Indosat Tbk; Daerah Khusus Ibukota Jakarta; On-site; IDR 200.000.000 - 300.000.000; Full time

Job summary

A leading technology firm is seeking a Sr Officer Data Engineer in Jakarta. The successful candidate will advise clients on data strategies, design solution architectures, and lead a team in developing robust data solutions. Ideal candidates should have at least 5 years of experience with Big Data and Machine Learning technologies, and a strong background in data management and optimization.

Qualifications

• Minimum 5 years of experience related to Big Data or Machine Learning.
• Good understanding of Databases (RDBMS, NON-RDBMS).
• Experience with building stream-processing systems using Storm or Spark-Streaming.

Responsibilities

• Advise clients on data strategy and design solution architectures.
• Lead teams in developing and deploying platforms.
• Manage data delivery through dashboards and reports.

Skills

Big Data

Machine Learning

Data architecture

Data governance

Data optimization

Education

Bachelor's degree in Computer Science or a related field

Tools

Spark

Hadoop

SQL

Job description

Sr Officer Data Engineer – Jakarta (Y Accreditation)

Location: Jakarta
Posted today
Salary: IDR900000 - IDR1200000
Company: Y Accord Innovations

Job Description

In your work, you will advise clients on their data strategy, design solution architectures and lead teams in their journey to continuously develop and deploy these platforms.

• Building, leading and growing a world‑class Big Data and Machine Learning Team.
• Provide cloud practice adoption, technology expertise, and process optimization blueprints for enterprise initiatives.
• Aligning the Big Data and Machine Learning product and service roadmap with the overall company strategic goals and technical vision.
• Acting as a strategic technology partner and service provider for our Big Data and Machine Learning business segments and related technology by developing and delivering on Big Data and Machine Learning technology roadmap.
• Partnering with business segment and technology platform product management to ensure the proper positioning and adoption of cloud infrastructure technology products and services.
• Lead a team of data engineers and guide them with the best data strategies in line with data needs.
• Identifying, designing, and implementing process improvements that include building/re‑engineering data models, data architectures, pipelines, and data applications.
• Continuously look for data optimisation processes and oversee data management, governance, security, and analysis for each project.
• Build team, identify the potential of each team member and offer technical guidance, leadership, and advice on planning, designing, and implementing data solutions.
• Manage data delivery through high‑performing dashboards, visualisations, and reports for our clients.
• Ensure data quality and security across every product vertical and related areas.
• Design, create and launch new data models and pipelines as per needs.
• Act as a mentor and grow the team by hiring skilled data engineers.
• Work towards achieving high performance, operational excellence, accuracy, and reliability of the overall system.
• Mentor and grow data warehouse, data modelling, and data visualisation team to correctly establish a data‑driven culture.
• Utilise tools and technologies to create data architecture that supports new data initiatives and is useful in next‑gen products.
• Ensure test‑driven products/pipelines that are easily maintainable and reusable.
• Design and build an infrastructure for extraction, transformation and loading of data from a wide range of data sources.

Requirements

• Minimum 5 years of experience related to Big Data or Machine Learning.
• Good understanding of Databases (RDBMS, NON‑RDBMS).
• Good understanding of ETL/ELT.
• Good understanding of Data and Business Analytics.
• Experience with building stream‑processing systems using Storm or Spark‑Streaming.
• Good knowledge of Big Data querying tools such as Pig, Hive, and Impala.
• Experience with Spark, integration of data from multiple data sources, NoSQL databases such as HBase, Cassandra, MongoDB.
• Knowledge of various ETL techniques and frameworks such as Flume.

Technical Analyst – Big Data (Y Credit Innovations)

Location: Jakarta
Experience: 5+ years
Posted today

Job Description

We are seeking a skilled Technical Analyst with strong experience in the banking domain to join our team. The ideal candidate will have expertise in PL/SQL, Cloudera, and Big Data technologies, along with hands‑on experience in banking‑related projects.

Key Responsibilities

• Analyse and translate business requirements into technical solutions in the banking sector.
• Develop, optimise and maintain PL/SQL queries, stored procedures and database solutions.
• Work with the Cloudera/Hadoop ecosystem for Big Data processing, analytics and reporting.
• Collaborate with cross‑functional teams to deliver data‑driven solutions for banking projects.

Required Skills & Qualifications

• 5+ years experience in banking/financial services domain.
• Strong expertise in PL/SQL (complex queries, stored procedures, performance tuning).
• Hands‑on experience with Cloudera, Hadoop, Hive, Spark or related Big Data technologies.
• Knowledge of data warehousing, ETL processes and data modelling in banking contexts.
• Familiarity with regulatory and compliance standards (Basel, AML, KYC).
• Experience in Agile/Scrum methodologies is a plus.
• Strong analytical and problem‑solving skills.

Education

• Bachelor’s or Master’s degree in Computer Science, IT or related field.

Data Engineer – Devoteam Group

Location: Jakarta
Full‑time

Job Description

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 (ETL) to extract, transform and load data from various sources into data warehouses or other storage systems.
• Manage data warehouses and lakes, ensuring performance, scalability and security.
• Integrate data from different sources (databases, APIs, external systems).
• Collaborate with data scientists, analysts and stakeholders to establish data quality standards and governance practices.
• Optimise data processing and storage systems for performance and scalability.

Programming skills: Proficiency in Python, Java, Scala, or SQL.

Database knowledge: Strong knowledge of relational databases and experience with DBMS.

Big Data technologies: Experience with Hadoop, Spark, Kafka.

ETL and Data Integration: Experience with NiFi, Talend or Informatica.

Data Warehousing: Experience with Redshift, BigQuery or Snowflake.

Cloud Platforms: AWS, Azure or GCP.

Data Pipeline tools: Airflow, Luigi, Oozie.

Education and Experience

Bachelor’s degree in Engineering required.

• Minimum two years related experience preferred.
• Two certifications in GCP within 3 months after joining.

Data Engineer – Intikom Berlian Mustika

Location: Jakarta
Contract 12 months

Scope of Work

• 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.

Contact: SoftwareDeveloper #Hiring #Career #ITJobs #Java #SQL

Data Engineer – PT Astra Graphia Information Technology (AGIT)

Location: Jakarta
Salary: IDR8000000 - IDR12000000

Job Description

• Build and optimise robust data pipelines for extracting, transforming and loading (ETL) data from multiple sources into a central data warehouse or data lake.
• Integrate data from multiple heterogeneous sources, ensuring data quality, consistency and availability.
• Monitor the performance of data systems, identify bottlenecks and resolve issues related to data quality or processing failures.

Mandiri Sekuritas – Data Engineer (Contract)

Location: Jakarta
Contract, on‑site

Job Description

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.

Qualifications

• 3–5 years experience building large‑scale data pipelines in cloud or hybrid environments.
• Strong in SQL, Python, Java; skilled with Bash scripting for automation.
• Hands‑on expertise with GCP, Azure, relational & non‑relational databases, Hadoop/on‑prem systems.
• Production experience with Airflow DAGs, Spark, and Flink.
• Experience with CI/CD & containerisation (Git, Terraform, Helm, Docker, Kubernetes).
• Solid grasp of distributed systems.
• Familiar with financial services data, regulations and security frameworks.
• Excellent communication skills.

Cube – Data Engineer

Location: Jakarta
Salary: IDR15000000 - IDR25000000

Job Description

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

Responsibilities

• Build and maintain scalable data pipelines to process and integrate e‑commerce data from multiple sources.
• Design and implement a modern cloud‑based data lakehouse architecture using AWS services such as S3, Athena, Glue, Fargate and Iceberg.
• Explore tools and solutions for high‑performance data transformation and analysis.
• Work with data analysts to deliver accessible and well‑structured datasets for reporting and advanced analytics.
• Collaborate with architects to design data platforms.
• Explore ways to enhance data quality and reliability.

Requirements

• Proficiency in Java and Python.
• Hands‑on experience with SQL database design.
• Previous experience as a data engineer or similar role.
• Technical expertise with data models, data mining and segmentation techniques.
• Great numerical and analytical skills.
• Willingness to learn and work with new tools and technologies.

Additional Job Information

All positions are open to people with disabilities. The company actively fights discrimination and promotes equal opportunities based on merit.