Senior Data Engineer I

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

• 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

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 quickly learn 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.

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