Data Engineer(Data Modeling& BI, ML, AI)

MCloudbridge; Tangerang Selatan; On-site; IDR 12.000.000 - 15.000.000; Full time

Job summary

A technology solutions provider in Tangerang Selatan is seeking a data specialist to develop and maintain data models and reports using Microsoft Fabric and Power BI. Candidate must have a strong understanding of data modeling and ETL processes, with excellent communication skills. The role involves collaboration with AI engineers and business stakeholders to deliver insights and optimize BI solutions. Knowledge of Azure Data Services is a plus.

Qualifications

• Proven experience with Microsoft Fabric, Power BI, and DAX/Power Query.
• Strong understanding of data modeling, ETL processes, and data visualization best practices.
• Excellent communication and collaboration skills.

Responsibilities

• Develop and maintain robust data models and reports.
• Collaborate with AI engineers and business stakeholders to define data requirements.
• Design and implement scalable data pipelines and semantic models.
• Ensure data quality, governance, and performance optimization across BI solutions.
• Support the integration of AI agents with enterprise data sources.

Skills

Microsoft Fabric

Power BI

Data Modeling

ETL Processes

Data Visualization Best Practices

AI/ML Concepts

Microsoft DAX

Power Query

Tools

Azure Data Services

Job description

Develop and maintain robust data models and reports using Microsoft Fabric and Power BI

Collaborate with AI engineers and business stakeholders to define data requirements and deliver insights

Design and implement scalable data pipelines and semantic models

Ensure data quality, governance, and performance optimization across BI solutions

Support the integration of AI agents with enterprise data sources

Stay up to date with the latest features in Microsoft Fabric, Power BI, and AI data technologies

Qualifications:

Proven experience with Microsoft Fabric, Power BI, and DAX/Power Query

Strong understanding of data modeling, ETL processes, and data visualization best practices

Familiarity with AI/ML concepts and how they interact with data platforms

Experience with Azure Data Services (e.g., Synapse, Data Factory) is a plus

Excellent communication and collaboration skills

Ability to work independently and in cross-functional teams

Bonus Skills:

Experience working with AI agents or LLMs in a data context

Knowledge of Python, SQL, or other scripting languages

Understanding of data governance and compliance frameworks

Proficiency in English or Korean languages