Power BI Data Engineer: AI-Driven Data Pipelines & Azure

Wonese Philippines; Quezon City; On-site; PHP 669,600 - 892,800; Full time

Job summary

A technology company in Metro Manila is seeking a talented Data Engineer to design and implement data solutions using Power BI, Azure Data Factory, and Python. The ideal candidate will have at least 5 years of experience in data engineering, along with strong skills in AI and machine learning. This role requires collaboration with data analysts and business stakeholders, as well as the ability to automate processes and maintain data quality. Interested candidates should have a passion for emerging technologies and a Bachelor's degree in a relevant field.

Qualifications

• At least 5 years of experience in data engineering, with a focus on Power BI, Azure Data Factory, Databricks, Python, data warehousing, and data lakes.
• Strong experience in DevOps processes, including continuous integration and continuous delivery.
• Excellent communication and collaboration skills.

Responsibilities

• Design, develop, and implement data engineering solutions using various tools.
• Work collaboratively with data analysts and stakeholders to understand requirements.
• Build and maintain efficient data pipelines, ensuring data quality.

Skills

Power BI

Azure Data Factory

Databricks

Python

Data warehousing

Data lakes

DevOps

AI

Machine learning

Education

Bachelor’s degree in Computer Science, Engineering, or a related field

Job description

A technology company in Metro Manila is seeking a talented Data Engineer to design and implement data solutions using Power BI, Azure Data Factory, and Python. The ideal candidate will have at least 5 years of experience in data engineering, along with strong skills in AI and machine learning. This role requires collaboration with data analysts and business stakeholders, as well as the ability to automate processes and maintain data quality. Interested candidates should have a passion for emerging technologies and a Bachelor's degree in a relevant field.