Data Engineer - Mid

Arch Capital; Philippines; On-site; PHP 700,000 - 1,000,000; Full time

Job summary

Arch Global Services (Philippines) Inc. is seeking a Data Engineer to develop data pipelines and analytics-ready assets for actuarial operations.

You will implement complex databases, automate ingestion and transformation, and collaborate with leaders across the company to drive data-driven decision making. The role requires 1–2+ years in data/ software engineering, strong SQL and Python skills, and experience with dimensional modeling and Airflow.

Qualifications

• BS in Computer Science, IT, Data Analytics or MIS.
• 1–2+ years of data/software engineering experience.
• Experience with SQL, Python and relational databases.
• Understanding dimensional data modeling (star schema).
• Familiarity with MLOps and Airflow orchestration.

Responsibilities

• Work with strategic partners to solve business problems by developing data solutions.
• Manipulate data using SQL and Python to create data assets.
• Automate data ingestion, transformation and integration.
• Document data sources and technical solutions adequately.
• Evaluate data quality and completeness.
• Collaborate across teams to support data goals.
• Explore new data sources with curiosity and creativity.
• Identify and implement internal process improvements for data pipelines.
• Create and maintain optimal data pipeline architecture.

Skills

SQL

Python

Git

Microsoft Excel

Data Modeling

Dimensional Modeling

Apache Airflow

MLOps

Education

BS in Computer Science

Information Technology

Data Analytics

MIS or equivalent

Tools

Apache Airflow

Job description

With a company culture rooted in collaboration, expertise and innovation, we aim to promote progress and inspire our clients, employees, investors and communities to achieve their greatest potential. Our work is the catalyst that helps others achieve their goals.

In short, We Enable Possibility.

The Position

Have you ever wondered how insurance companies calculate the price of insurance policies? The Actuarial Operations is a dynamic, growing team at Arch. This team implements innovative insurance pricing models and analytical tools to improve profitability and growth across a wide range of Property & Casualty insurance products.

The Data Engineer will implement complex databases and data pipelines that put analytics at the heart of real-time decision-making. They will work closely with leaders across the company on high-profile analytics projects that drive business strategies. They provide technical guidance and ensure the use of sound engineering practices and effective use of resources. As a key member of the Actuarial Operations team, they will advance our implementation capabilities and help our team deliver solutions faster.

Job 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 strong partnerships with peers 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: automating manual processes and optimizing data pipelines
• Discover and explore new sources of data with curiosity and creativity
• Create and maintain optimal data pipeline architecture

Required Skills/Experience

• SQL, Python, Python, Git, Microsoft Excel, Data Modeling (Dimensional modeling)
• The ideal candidate has 1-2+ years of data/software engineering experience working with SQL, Python, and relational databases.
• Understanding and experience with dimensional data modeling (star schema)
• Familiarity with the MLOps framework
• Strong data manipulation skills for analytics
• Familiarity designing and operating data pipelines using Apache Airflow or equivalent orchestration tools
• Excellent critical thinking skills to tackle complex data challenges
• Strong organizational skills and very detail oriented
• Exceptional collaboration and relationship building skills
• Comfortable working in a fast paced, highly collaborative environment
• Ability to effectively communicate to different target audiences
• Resilient problem solving and critical thinking skills
• Flexibility - able to meet changing requirements and priorities

Education

BS in Computer Science, Information Technology degree, Data Analytics, Management Information Systems or equivalent

10400 Arch Global Services (Philippines) Inc.