Remote Data Engineer for ETL & Python Solutions

HedgeServ; Metro Manila; Hybrid; PHP 1,000,000 - 1,300,000; Full time

Benefits offered by this job

remote and hybrid working arrangements

fully paid comprehensive health and-wb

Job summary

HedgeServ, a leading global fund administrator, seeks a Data Engineer to design, deploy, and maintain enterprise ETL processes. You will build Python-based data pipelines, develop Jupyter notebook solutions, and migrate legacy workflows toward scalable, modern platforms.

You will collaborate with business, technical, and support teams to ensure reliable data operations. You will analyze data to support operational and strategic needs, contribute to process documentation, and drive continuous

Qualifications

• 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 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.

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.

Skills

Python

SQL

Bash

Pandas/Numpy/SciPy

English communication

Agile

Data engineering

Education

Bachelor’s degree in Computer Science or related field

Tools

Jupyter notebooks

AWS (Kibana, APM)

Job description

HedgeServ, a leading global fund administrator, seeks a Data Engineer to design, deploy, and maintain enterprise ETL processes. You will build Python-based data pipelines, develop Jupyter notebook solutions, and migrate legacy workflows toward scalable, modern platforms.

You will collaborate with business, technical, and support teams to ensure reliable data operations. You will analyze data to support operational and strategic needs, contribute to process documentation, and drive continuous