Senior Data Engineer I

RELX; Manila; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

RELX in Manila is seeking a Data Engineer to design, build, and maintain scalable ETL/ELT pipelines that ingest Google Analytics, marketing data, and other sources into a cohesive data landscape.

You will collaborate with stakeholders worldwide, optimize data workflows on AWS, implement data quality checks, and document data lineage to support analytics and privacy compliance.

Qualifications

• 5-7 years' experience as a data engineer with focus on data processing
• Experience with relational databases
• Experience with AWS Cloud
• Proficiency in SQL, Python, and Shell/Powershell

Responsibilities

• Design and maintain scalable ETL/ELT pipelines.
• Integrate web traffic, campaign, and engagement data into AWS landscape.
• Collaborate with Stakeholders to translate business requirements to technical solutions.
• Document data sources, transformations, and lineage.

Skills

SQL

Python

Shell/Powershell

AWS Cloud

Agile Methodology

Stakeholder management

Data modeling

Data quality

Communication skills

Education

Bachelor’s Degree in Engineering/CS

Tools

MS SQL Server

PostgreSQL

Oracle

APIs

Job description

Accountabilities:

• Design, build, and maintain scalable ETL/ELT pipelines to ingest third-party data (e.g., Google Analytics, Sprinklr, paid media, social, and other marketing data sources)
• 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.
• Ensure clean, structured, and standardized datasets across multiple external sources.
• Maintain data consistency, deduplication, and normalization practices.
• Implement validation checks and monitoring to ensure data accuracy and completeness.
• Document data sources, transformations, and lineage.
• Support compliance and privacy considerations (e.g., consent frameworks, tracking limitations).
• Collaborate with Stakeholders and Reporting/Data Analysts to assist and translate business requirements to technical solutions
• Develop data lake solutions leveraging new or existing technology to advance the company’s business
• Design, upgrade and implement new data workflows, automation, tools and API integrations
• Write and maintain technical documentation
• Perform unit tests and system integration tests
• Work with the team using Agile methodology

Qualifications:

• Bachelor’s Degree holder (Engineering/Computer Science preferred but not required)
• Experience dealing with various stakeholders in a global perspective
• 5-7 years’ experience as a Data Engineer (or related positions) with focus on data processing and/or relational databases
• Experienced with relational databases like MS SQL Server, PostgresSQL, and Oracle
• Experienced in the following programming/scripting languages: SQL, Python, Shell/Powershell,
• Experienced with AWS Cloud
• Experienced with working on Structured, Semi-Structured, Unstructured datasets
• Monitor, validate, and drive continuous improvement to methods, and propose enhancements to data sources that improve usability and results
• Proven stakeholder management
• Proven time and project management skills, experience in Agile Methodology is desired
• Good communication and presentation skills
• Analytical, structured, organized, and proactive
• Willing to work on a graveyard schedule
• Ability to quicklylearn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

Preferred Qualifications:

• Experience working with web analytics data models (e.g., GA4)
• Familiarity with marketing attribution and campaign tracking frameworks (UTM structures).
• Experience handling high-volume marketing data.
• Knowledge of data governance, privacy, and consent frameworks.

We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law.

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