Data Scientist | Arbeit Consultancy

Job Title:

Data Scientist | Arbeit Consultancy | Jakarta, Indonesia

Recruiting Company:
Arbeit Consultancy

Job Location:

Jakarta, Indonesia

Job Type: Full-Time

• Minimum Experience:
  
  1+ Year
• Email Subject:
  Apply for
  - Data Scientist
  - Your Name
• Bachelor’s Degree Required
• Experience with Modern Data Engineering and Big Data Technologies Preferred

Arbeit Consultancy is seeking a Data Scientist with strong data engineering and analytics capabilities to help build scalable, data-driven solutions that support business intelligence, machine learning, and advanced analytics initiatives. This role offers the opportunity to work with modern cloud, big data, and data lakehouse technologies while collaborating with cross-functional teams to deliver high-quality, actionable insights.

As a Data Scientist, you will be responsible for designing, developing, and maintaining robust data pipelines and centralized data platforms that power analytics and decision-making across the organization. You will work closely with BI, analytics, and data science teams to ensure the availability of reliable, high-quality, and modeling-ready datasets. The ideal candidate will possess strong expertise in Python, SQL, cloud technologies, and big data ecosystems, while also understanding modern data warehousing, governance, and automation practices.

This position provides an excellent opportunity to work on large-scale data platforms, optimize data processing workflows, and contribute to innovative data initiatives within a fast-paced environment.

• Design, develop, and maintain scalable ETL/ELT pipelines and data integration workflows.
• Build and manage centralized data platforms using modern data lakehouse architectures.
• Develop efficient data solutions utilizing Python, SQL, Spark, Kafka, and related technologies.
• Collaborate with BI, Analytics, and Data Science teams to deliver high-quality, analytics-ready datasets.
• Optimize data pipelines, database queries, cloud resources, and processing performance.
• Implement and maintain data quality, governance, security, and compliance standards.
• Support data modeling initiatives and enterprise reporting requirements.
• Automate data workflows and improve operational efficiency through best practices.
• Create and maintain technical documentation for data architecture and processes.
• Monitor and troubleshoot data platform performance, reliability, and availability.

• Bachelor’s Degree in Computer Science, Information Technology, Data Science, Engineering, Mathematics, Statistics, or a related field.
• Minimum 1 year of professional experience in Data Science, Data Engineering, or a related data-focused role.
• Strong programming skills in Python and advanced SQL.
• Hands-on experience with Apache Spark, Hadoop, Kafka, and Apache Iceberg.
• Experience working with AWS services including S3, Redshift, Glue, EC2, and EKS.
• Experience with Apache Airflow for workflow orchestration and automation.
• Solid understanding of Data Warehousing concepts and best practices.
• Knowledge of Dimensional Modeling, including Star Schema and Snowflake Schema designs.
• Familiarity with Git version control, CI/CD pipelines, and Jenkins.
• Strong analytical, troubleshooting, and problem-solving skills.
• Ability to work collaboratively within cross-functional technical teams.

• Experience with machine learning model deployment and MLOps practices.
• Knowledge of Data Lakehouse frameworks and modern analytics architectures.
• Familiarity with GDPR, UU PDP, and data governance frameworks.
• Experience with Docker, Kubernetes, and containerized data platforms.
• Exposure to real-time streaming data architectures and event-driven systems.

To stand out for modern Data Scientist roles, highlight hands-on projects involving Python, SQL, Spark, AWS, data pipelines, and large-scale datasets. Include measurable outcomes such as performance improvements, data processing volumes, automation achievements, or analytics results that demonstrate real business impact.