Senior Data Engineer — Marketing Data Pipelines & AWS

RELX; Quezon City; On-site; PHP 900,000 - 1,800,000; Full time

Job summary

RELX is seeking an experienced Data Engineer to design, build, and maintain scalable ETL/ELT pipelines ingesting diverse marketing and analytics data. The role focuses on integrating web traffic, campaign, and engagement data into the AWS landscape and developing automated data extraction workflows via APIs and batch processes.

You will monitor pipeline performance, ensure data quality, and document data sources, transformations, and lineage while supporting privacy compliance.

Qualifications

• Bachelor’s degree in Engineering/Computer Science preferred.
• 5–7 years as a Data Engineer or similar data processing role.
• Experience with relational databases (MS SQL Server, PostgreSQL, Oracle).
• Proficient in SQL, Python, and Shell/Powershell.
• Experience with AWS Cloud and handling structured datasets.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines for third‑party data ingestion.
• Integrate web traffic, campaign, and engagement data into AWS landscape.
• Develop automated workflows for data extraction via APIs, webhooks, and batch processes.
• Monitor and optimize data pipeline performance and reliability.
• Document data sources, transformations, and lineage; ensure data quality.
• Support privacy considerations and data governance practices.

Skills

SQL proficiency

Python scripting

Communication

Education

Bachelor’s Degree in Engineering/Computer Science

Tools

MS SQL Server

PostgreSQL

Oracle

AWS Cloud

Shell/Powershell

Job description

RELX is seeking an experienced Data Engineer to design, build, and maintain scalable ETL/ELT pipelines ingesting diverse marketing and analytics data. The role focuses on integrating web traffic, campaign, and engagement data into the AWS landscape and developing automated data extraction workflows via APIs and batch processes.

You will monitor pipeline performance, ensure data quality, and document data sources, transformations, and lineage while supporting privacy compliance.