Data Engineer - Senior

McNeil & Co.; Metro Manila; On-site; PHP 1,800,000 - 3,000,000; Full time

Job summary

Arch Investment Management Ltd. (AIML) is expanding its Risk & Quantitative Strategies team and is seeking a senior data engineer to own and scale the data platform underpinning our systematic credit strategies.

You will architect production data pipelines, ingest diverse financial datasets, collaborate with quant researchers to translate needs into robust data systems, and uphold data governance and quality in a fast-paced, high-stakes environment.

Qualifications

• 5+ years of professional data engineering experience and ownership of production data platforms.
• Strong Python and SQL proficiency with production data pipelines.
• Experience with cloud platforms and multi-environment deployments.
• Experience with CI/CD and observability for production systems.
• Familiarity with FastAPI or similar APIs and data quality testing.
• Excellent communication and ability to work with researchers and engineers.

Responsibilities

• Architect, build, and own production data pipelines and storage.
• Collaborate with quantitative researchers to translate needs into data systems.
• Ensure data quality, testing, and validation across pipelines.
• Implement CI/CD, monitoring, and observability practices.
• Document data flows and governance controls.
• Partner with engineers to deliver scalable data architectures.

Skills

Python

SQL

Cloud platforms

ETL pipelines

CI/CD

Observability/Monitoring

FastAPI

Data quality

Data governance

Communication

Education

BS in Engineering

BS in Computer Science

BS in Information Technology

Tools

Snowflake

Databricks

GitHub Actions

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.