Senior Data Engineer I

RELX INC

Manila

On-site

PHP 1,000,000 - 1,500,000

Full time

3 days ago
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Job summary

RELX INC is seeking a Data Engineer in Manila to design, build, and maintain scalable ETL/ELT pipelines that ingest third-party data such as Google Analytics, Sprinklr, paid media, and social data. You will integrate web traffic and campaign data into the AWS landscape and develop automated workflows for data extraction via APIs and batch processes.

You will collaborate with stakeholders and data analysts to translate business requirements into technical solutions, ensure data quality, and

Qualifications

  • Bachelor’s degree in Engineering or Computer Science preferred.
  • 5-7 years of Data Engineer experience focused on data processing and relational databases.
  • Experience with MS SQL Server, PostgreSQL, and Oracle.]
  • Proficient in SQL, Python, and shell scripting.
  • Experience with AWS Cloud and various data formats (structured, semi-structured, unstructured).

Responsibilities

  • Design, build, and maintain scalable ETL/ELT pipelines for ingested data sources.
  • Integrate web traffic and marketing data into AWS landscape.
  • Develop automated data extraction workflows via APIs and batch processes.
  • Monitor and optimize pipeline performance and reliability.

Skills

SQL
Python
Shell/Powershell
AWS Cloud
Data Pipelines
Relational Databases
Stakeholder Management
Agile Methodology
Analytical
Communication
Learning

Education

Bachelor’s Degree in Engineering/CS

Job description

Manila

Full time

R117988

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.

USA Job Seekers:

EEO Know Your Rights.

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.

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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