Data Management Engineer - Mid

Arch Insurance Group Inc.; Manila; On-site; PHP 600,000 - 900,000; Full time

Job summary

Arch Global Services Philippines Inc. is seeking a Data Management Engineer to support actuarial data assets, reporting platforms, and automation solutions.

The role emphasizes production support, data operations, and improving data pipelines, datasets, dashboards, and reporting processes. The successful candidate will collaborate with the Director of Data Management to ensure data reliability, accuracy, and availability of business-critical solutions.

Qualifications

• 2-3+ years of data/software engineering experience with SQL, Python and relational databases.
• Experience reconciling data across multiple source systems and investigating data quality issues via SQL-based analysis.
• Familiarity with Power BI reporting and visualization customization.
• Experience with Visual Studio or VS Code.
• Experience with Streamlit applications is a major plus.
• Strong data manipulation skills for analytics.
• Excellent critical thinking to tackle complex data challenges.
• Strong organizational skills and attention to detail.
• Exceptional collaboration and relationship-building skills.
• Ability to communicate effectively with different audiences.

Responsibilities

• Monitor and maintain datasets, ETL processes, and reporting solutions.
• Troubleshoot processing issues and data discrepancies.
• Investigate failed jobs, report defects, and performance bottlenecks.
• Support release validation and post-deployment monitoring.
• Develop solutions to automate recurring operational activities.
• Productionize data processes and reporting workflows.
• Enhance monitoring and alerting capabilities.
• Identify opportunities to reduce manual effort and improve efficiency.
• Maintain and enhance Power BI reports and dashboards.
• Support business users with reporting enhancements.
• Optimize SQL queries, views, and transformations.
• Support Snowflake data structures and data movement processes.

Skills

SQL

Python

Relational databases

Power BI

Data manipulation

Critical thinking

Communication

Education

BS in Computer Science

BS in Information Technology

Data Analytics

Management Information Systems

Tools

Visual Studio

VS Code

Streamlit

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℠.

We are seeking a Data Management Engineer to support and maintain actuarial data assets, reporting platforms, and automation solutions. This role focuses heavily on production support, data operations, troubleshooting, and continuous improvement of existing data pipelines, datasets, dashboards, and reporting processes.

The successful candidate will work closely with the Director of Data Management to ensure the reliability, accuracy, and availability of business-critical data solutions. The role combines production support, data engineering, business intelligence development, and process automation utilizing SQL/T-SQL, Python, Power BI, SSIS, and Snowflake.

Job Responsibilities

• Monitor and maintain datasets, ETL processes, and reporting/reconciliation solutions

• Troubleshoot processing issues and data discrepancies

• Investigate failed jobs, report defects, and performance bottlenecks

• Support release validation and post-deployment monitoring

• Develop solutions to automate recurring operational activities

• Productionize data processes and reporting workflows

• Enhance monitoring and alerting capabilities

• Identify opportunities to reduce manual effort and improve efficiency

• Maintain and enhance Power BI reports and dashboards

• Support business users with reporting enhancements

• Optimize SQL queries, views, and transformations

• Support Snowflake data structures and data movement processes

Required Skills/Experience

• The ideal candidate has 2-3+ years of data/software engineering experience working with SQL, Python, and relational databases.

• Ability to identify data anomalies, analyze underlying datasets, reconcile discrepancies across systems, and determine root causes through detailed data investigation.

• Experience reconciling data across multiple source systems and investigating data quality issues through SQL-based analysis.

• Familiarity with Power BI reporting & visualization customization

• Experience with Visual Studio, VS Code, or another equivalent platform

• Experience with Stream lit applications a major plus

• Strong data manipulation skills for analytics

• 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 with 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.