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Data Management Engineer - Mid

PHL-Manila

Pay
Pay not listed
Work setting
Not stated
Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting
Apply at Arch Capital Group

What you’ll work on

Full posting
  • Monitor and maintain datasets, ETL processes, and reconciliation solutions

  • Troubleshoot processing issues and data discrepancies

  • Investigate failed jobs, report defects, and performance bottlenecks

  • Develop solutions to automate recurring operational activities

  • Maintain and enhance Power BI reports and dashboards

From the employer’s posting
Monitor and maintain datasets, ETL processes, and reporting/reconciliation solutions
Troubleshoot processing issues and data discrepancies
Investigate failed jobs, report defects, and performance bottlenecks
Develop solutions to automate recurring operational activities
Maintain and enhance Power BI reports and dashboards

What you’ll bring

All qualifications

Core experience

  • 10400 Arch Global Services (Philippines) Inc.
Qualification wording
10400 Arch Global Services (Philippines) Inc.
Education & alternatives
Education - BS in Computer Science, Information Technology degree, Data Analytics, Management Information Systems or equivalent Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.

Tools in this posting

  • Python
  • SQL
  • Power BI
  • Snowflake
Source — Tool mentions in context
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
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.
- Support business users with reporting enhancements - Optimize SQL queries, views, and transformations - Support Snowflake data structures and data movement processes
- 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
- Identify opportunities to reduce manual effort and improve efficiency - Maintain and enhance Power BI reports and dashboards - Support business users with reporting enhancements
- 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
- Optimize SQL queries, views, and transformations - Support Snowflake data structures and data movement processes Required Skills/Experience

Posting record

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Status in our records
Live
First seen by us
Sep 18, 2026 · 41 days ago
Recorded sightings
118
Last seen by us
Oct 30, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

Your next step

  • Have your resume and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the pay range before committing time to the process.

Complete your application on archgroup.wd1.myworkdayjobs.com. The employer’s form will show what is required.

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Job description

View original posting ↗

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


Do you like solving complex business problems, working with talented colleagues and have an innovative mindset? Arch may be a great fit for you. If this job isn’t the right fit but you’re interested in working for Arch, create a job alert! Simply create an account and opt in to receive emails when we have job openings that meet your criteria. Join our talent community to share your preferences directly with Arch’s Talent Acquisition team.


10400 Arch Global Services (Philippines) Inc.
Source details

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Location & working pattern

PHL-Manila

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