Data Engineer

HedgeServ (Philippines) LLC – Manila Branch; Manila; On-site; PHP 850,000 - 1,300,000; Full time

Benefits offered by this job

Competitive salary & benefits packages

Ongoing learning and development opportunities

Job summary

HedgeServ (Philippines) LLC – Manila Branch is seeking an ETL Engineer to support the Product and Portfolio Support Team. The role involves designing, building, and maintaining ETL pipelines using Python and Jupyter notebooks, along with the opportunity to develop guidelines and contribute to various business units.

The ideal candidate will possess a Bachelor’s degree in Computer Science and strong proficiency in Python. The position offers competitive salary and benefits, with opportunities for ongoing learning and development.

Qualifications

• Strong proficiency in Python; experience with SQL and Bash is also required.
• Solid knowledge of data-science libraries such as Pandas, NumPy, and SciPy.
• Ability to read and interpret XML schemas and understand XML-based workflows.
• Experience in agile software development and change management.

Responsibilities

• Design, build, test, and evolve ETL pipelines using Python and Jupyter notebooks.
• Produce and maintain documentation for ETL processes.
• Deliver rapid assistance for tickets and incidents with SLA compliance.
• Keep up-to-date with industry best practices relevant to ETL.

Skills

Python

SQL

Bash

Data Science Libraries

Advanced Excel

AWS Technologies

Object-Oriented Programming

Agile Software Development

Financial Services Knowledge

Communication Skills

Education

Bachelor’s degree in Computer Science or Information Systems

Job description

At HedgeServ, we’re redefining what’s possible in fund administration. With more than $700 billion in assets under administration, we partner with the world’s most forward‑thinking investment managers across private equity, private credit, endowments, hedge funds and more – to deliver seamless, tech‑enabled solutions that drive performance.

Job Description

The Product and Portfolio Support Team provides around the clock coverage for the creation, deployment, and upkeep of enterprise‑wide Extract‑Transform‑Load (ETL) mappings. Key responsibilities include writing and maintaining Python‑based Jupyter notebooks, designing workflows that ingest and transform incoming vendor and client files, and migrating legacy Excel logic into robust Python code. This role involves transitioning legacy operations to more efficient and modern systems, while working with multiple business, technical and support teams for the development and maintenance of critical ETL mappings. They will use analytical skills to process and understand data, answer business questions, and be able to work independently and as part of a distributed global team. The role offers the chance to author new guidelines, best‑practice playbooks, and root‑cause analysis procedures whenever incidents arise. On top of the day‑to‑day support tasks and ongoing long‑term projects, team members will contribute to short‑term projects for internal initiatives or cross‑functional business units. The engineer will support process automation, data extraction, and customized solutions across various business units and will learn about the financial services/hedge fund industry.

Job Responsibilities

• ETL Development – Design, build, test, and evolve ETL pipelines using Python and Jupyter notebooks.
• Data Transformation – Convert raw data streams from multiple external sources into formats suitable for ingestion by proprietary applications.
• Documentation – Produce and maintain clear, detailed documentation for both new and existing ETL processes.
• Support & Incident Response – Deliver rapid, SLA‑compliant assistance for tickets and incidents, with the ability to rapidly push fixes to production when needed.
• Continuous Improvement – Keep up‑to‑date with industry best practices, tools, and emerging technologies relevant to ETL and data engineering, and apply them to the team’s workflows.
• Communication – Translating complicated problems and processes into streamlined solutions for various internal audiences, including senior management.

Job Requirements

• Bachelor’s degree in Computer Science, Information Systems, or equivalent professional experience.
• Strong proficiency in Python; experience with SQL and Bash is also required.
• Solid knowledge of data‑science libraries such as Pandas, NumPy, and SciPy.
• Advanced Excel skills, including complex formula construction.
• Ability to read and interpret XML schemas and understand XML‑based workflows.
• Experience and knowledge using AWS technologies including Kibana and APM for troubleshooting.
• Deep grasp of object‑oriented programming, design patterns, and core software engineering concepts.
• Experience in agile software development, release and change management, and frequent deployments into production environments.
• Experience in the financial services industry and some knowledge of financial products is a plus.
• Excellent written and verbal communication skills in English.

All qualifications are equally important; the ideal candidate will blend technical expertise with a proactive, service‑oriented mindset.

Please note that this role requires working during U.S. business hours.

We offer competitive salary & benefits packages and ongoing learning and development opportunities.