Senior Data Engineer I

LexisNexis Risk Solutions; Manila; On-site; PHP 900,000 - 1,300,000; Full time

Job summary

RELX is seeking a seasoned Data Engineer to design, build, and maintain scalable ETL/ELT pipelines, ingesting diverse third-party data sources and integrating them into the AWS landscape. You will develop automated extraction workflows, ensure data quality, and document data lineage while collaborating with stakeholders across a global organization.

The role requires 5–7 years in data engineering, strong SQL/Linux scripting skills, and experience with AWS cloud services.

Qualifications

• Bachelor’s degree in engineering or computer science preferred.
• Experience with stakeholders in a global context is required.
• 5–7 years in data engineering with focus on data processing and relational databases.

Responsibilities

• Design, build, and maintain scalable ETL/ELT pipelines to ingest third-party data.
• 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 sources.
• Maintain data consistency, deduplication, and normalization practices.
• Document data sources, transformations, and lineage.
• Collaborate with stakeholders and analysts to translate business requirements into technical solutions.
• Develop data lake solutions leveraging new or existing technology.
• Design, upgrade and implement new data workflows, automation, tools and API integrations.
• Write and maintain technical documentation and perform tests.
• Work in an Agile team.

Skills

ETL/ELT pipelines

AWS Cloud

Stakeholder management

Agile methodology

Communication

Analytical thinking

Education

Bachelor’s Degree in Engineering/Computer Science

Tools

MS SQL Server

PostgresSQL

Oracle

Python

Shell/Powershell

SQL

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 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.

We know your well-being and happiness are key to a long and successful career. We are delighted to offer country specific benefits.

We are committed to providing a fair and accessible hiring process. If you have a disability or other need that requires accommodation or adjustment, please let us know by completing our Applicant Request Support Form or please contact 1-855-833-5120.

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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RELX is a global provider of information-based analytics and decision tools for professional and business customers, enabling them to make better decisions, get better results and be more productive.

Our purpose is to benefit society by developing products that help researchers advance scientific knowledge; doctors and nurses improve the lives of patients; lawyers promote the rule of law and achieve justice and fair results for their clients; businesses and governments prevent fraud; consumers access financial services and get fair prices on insurance; and customers learn about markets and complete transactions.

Our purpose guides our actions beyond the products that we develop. It defines us as a company.

Every day across RELX our employees are inspired to undertake initiatives that make unique contributions to society and the communities in which we operate.