Data Engineer - Senior

Arch Global Services; Manila; On-site; PHP 900,000 - 1,500,000; Full time

Job summary

Arch Global Services is seeking a senior data engineer to own and scale the data platform underpinning our quantitative strategies. You will architect production pipelines, ingest data from multiple sources, and collaborate with quant researchers to translate needs into robust systems.

This is a hands-on role emphasizing data governance, testing, CI/CD, and reliable APIs (FastAPI). You will work across DEV/STAGE/PROD environments, ensuring data quality and observability while upholding

Qualifications

• 5+ years of professional data engineering experience with production-grade pipelines.
• Strong Python and SQL skills and cloud platform experience.
• Experience designing scalable ETL data pipelines and multi-environment deployment.
• Familiar with CI/CD and observability for production systems.

Responsibilities

• Platform ownership: Architect, build, and own production data pipelines and storage systems ingesting large-scale datasets.
• Data governance: Own data quality, governance, and documentation across pipelines.
• API & service design: Contribute to production APIs powering internal applications.
• Quality & reliability: Implement test plans, non-regression testing and data validation.
• Engineering standards: Promote CI/CD, code quality, and observability.
• Team collaboration: Translate quant research needs into robust data architectures.

Skills

Python

SQL

Cloud platforms

ETL pipelines

CI/CD

APIs (FastAPI)

Data governance

Data quality assurance

Observability/monitoring

Communication / collaboration

Education

BS in Engineering, Computer Science, Information Technology, or equivalent

Tools

Snowflake

Databricks

GitHub Actions

FastAPI

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℠.

Arch Investment Management Ltd. (AIML), based in Bermuda, is a wholly owned subsidiary of Arch Capital Group Ltd., a leading insurance and reinsurance company. Arch Capital has investable assets of over $50bn. Arch Investment Management manages Arch Capital and its subsidiaries' portfolios.

The Risk & Quantitative Strategies (RQS) team, responsible for producing the analytics and models that support business decisions, is growing and is hiring a senior data engineer to help own and scale the data platform underpinning our systematic credit strategies.

This is a senior, hands-on role: you will be trusted to architect solutions independently, ingest data reliably from different sources, work directly with quant researchers to translate needs into production data systems, and raise the technical bar across the team.

Tasks/Responsibilities

• Platform ownership: Architect, build, and own production data pipelines and storage systems ingesting large-scale financial datasets (ICE, Bloomberg, LSEG, BlackRock, Clearwater, external managers etc).
• Data stewardship & governance: Take ownership of in-house managed data and embed robust data governance and control mechanisms across the pipeline lifecycle, and maintain comprehensive documentation.
• API & service design: Contribute to production APIs (FastAPI) powering internal applications as scalable and service-based architectures.
• Quality & reliability: Design and implement rigorous test plans, non-regression testing and data validation frameworks to guarantee the reliability and accuracy of pipelines that directly drive investment decisions.
• Engineering standards: Champion best practices for code quality, CI/CD (GitHub Actions) and observability/monitoring across the team's data and platform work.
• Team collaboration: Partner with quant researchers to translate portfolio analytics needs into robust application and with the engineers to build production-grade data architecture.

Required Skills / Experience

• 5+ years of professional experience in data engineering or a closely related discipline, including demonstrated ownership of production-grade data platforms (not solely research or prototype work).
• Strong proficiency in Python and SQL.
• Hands-on experience with cloud platforms.
• Experience designing and maintaining ETL/data pipeline architecture at scale, including multi-environment (DEV/STAGE/PROD) deployment practices.
• Experience with CI/CD pipelines (e.g., GitHub Actions) and observability/monitoring practices for production systems.
• Familiarity building or supporting backend APIs (FastAPI or equivalent).
• Experience with data quality assurance, including non-regression testing and data validation frameworks.
• Comfortable tracing data flow and troubleshooting issues under limited time restriction.
• Strong communicator and collaborator, with the ability to work independently, challenge requirements where needed and align technical solutions to real investment workflows.

Desired Skills / Experience

• Experience with financial, banking or asset-management companies.
• Experience with AI (RAG systems, document intelligence or agentic workflows).
• Hands-on experience with Snowflake and Databricks.

Education

• BS in Engineering, Computer Science, Information Technology, or equivalent practical experience.