Data Engineer - Real-Time Analytics & Pipelines

Arch Insurance Group Inc.; Manila; On-site; PHP 600,000 - 1,100,000; Full time

Job summary

Arch Global Services (Philippines) Inc. is seeking a Data Engineer to design and maintain data pipelines that enable real-time analytics.

You will collaborate with the Actuarial Operations team and business stake-holders to build scalable data assets and robust data ingestion processes. The role requires 1–2+ years in data/software engineering, strong SQL and Python skills, and experience with dimensional modeling and orchestration tools like Apache Airflow.

Qualifications

• 1–2+ years of data/software engineering experience with SQL, Python, and relational databases.
• Knowledge of dimensional data modeling (star schema).
• Familiarity with MLOps and orchestration tools like Apache Airflow.

Responsibilities

• Work with strategic partners to solve business problems by developing best-in-class data solutions
• Perform data manipulation using SQL and Python to develop data assets
• Leverage technology to automate data ingestion, transformation and integration
• Provide the appropriate level of documentation of sources and technical solutions
• Evaluate data quality and completeness
• Build partnerships across the organization to support data-related goals
• Explore new technologies and data sources with curiosity and creativity
• Identify, design, and implement internal process improvements for data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture

Skills

SQL

Python

Git

Excel

Data Modeling

MLOps

Airflow

Data pipelines

Analytics

Education

BS in Computer Science

Information Technology degree

Data Analytics

Tools

Apache Airflow

Job description

Arch Global Services (Philippines) Inc. is seeking a Data Engineer to design and maintain data pipelines that enable real-time analytics.

You will collaborate with the Actuarial Operations team and business stake-holders to build scalable data assets and robust data ingestion processes. The role requires 1–2+ years in data/software engineering, strong SQL and Python skills, and experience with dimensional modeling and orchestration tools like Apache Airflow.