Data Engineer

Reed Elsevier Shared Services (Philippines) Inc Company; Manila; On-site; PHP 800,000 - 1,600,000; Full time

Job summary

RELX is seeking a data engineer in Manila to develop, test, and maintain ETL/ELT pipelines ingesting data from GA4, paid media, and social platforms. You will integrate data into the AWS data lake and implement data-quality checks.

The role requires 2–5 years of data engineering experience, proficiency in SQL and Python, and familiarity with API ingestion, Git workflows, and cloud-based data platforms. On-site in Manila with a focus on governance and collaboration.

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related discipline, or equivalent practical experience.
• Typically 2–5 years of experience in data engineering, database development, software engineering, analytics engineering, or a related role.
• Working proficiency in SQL and Python.
• Experience developing or supporting ETL/ELT pipelines.
• Hands-on experience with AWS or another cloud-based data platform.
• Experience working with relational databases such as PostgreSQL, Microsoft SQL Server, or Oracle.
• Experience processing structured and semi-structured formats such as JSON, CSV, and Parquet.
• Familiarity with API ingestion, authentication, pagination, batch processing, incremental loading, and data validation.
• Familiarity with Git, pull requests, code reviews, testing, and deployment workflows.
• Ability to investigate data issues and communicate progress, risks, and blockers clearly.
• Ability to collaborate with technical and business stakeholders in a global environment.
• Strong problem-solving, organizational, documentation, and communication skills.
• Ability to work 8 hours of overlap with [Eastern/Central] US business hours.
• Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

Responsibilities

• Develop, test, and maintain ETL/ELT pipelines that ingest data from third-party sources.
• Build and support API and batch-ingestion workflows, including pagination, rate-limit handling, retries, and incremental loads.
• Integrate data into the AWS data lake (S3, Glue, Athena, CloudWatch).
• Transform data into reusable datasets with normalization, deduplication, and validation.
• Monitor pipelines and troubleshoot data-quality, performance, and schema issues.
• Implement data-quality checks and communicate failures or risks to the team.
• Maintain technical documentation for data sources, mappings, transformations, and procedures.
• Collaborate with Sr. Engineers and stakeholders to translate requirements into tasks.
• Ensure data-governance, privacy, consent, access, and retention requirements.

Skills

SQL

Python

ETL/ELT pipelines

Data engineering

AWS

Education

Bachelor’s degree in Engineering/CS/IT or related field

Tools

PostgreSQL

Microsoft SQL Server

Oracle

Git

Databricks

PySpark

Airflow

AWS S3

AWS Glue

AWS Athena

CloudWatch

Job description

ACCOUNTABILITIES

• Develop, test, and maintain ETL/ELT pipelines that ingest structured and semi-structured data from third-party sources, including GA4, paid media, social media, and other marketing platforms.
• Build and support API and batch-ingestion workflows, including pagination, rate-limit handling, retries, and incremental loads.
• Integrate web traffic, campaign, engagement, and related business data into the AWS data lake.
• Transform source data into consistent, reusable datasets using established standards for data types, normalization, deduplication, and validation.
• Monitor scheduled pipelines and troubleshoot data-quality, performance, schema, and processing issues.
• Implement data-quality checks and communicate failures, risks, and blockers to the appropriate team members.
• Work with AWS data services such as S3, Glue, Athena, and CloudWatch, or equivalent cloud technologies.
• Use Git-based development practices, including branches, pull requests, peer reviews, and controlled deployments.
• Perform unit testing and source-to-target validation for pipeline changes.
• Maintain technical documentation for data sources, mappings, transformations, business rules, and operational procedures.
• Collaborate with Sr. Engineers, reporting analysts, and business stakeholders to translate requirements into technical tasks.
• Implement established data-governance, privacy, consent, access, and retention requirements.
• Participate in Agile planning, estimation, demonstrations, and retrospectives.
• Responsibly use approved enterprise AI tools while validating generated code and protecting company and customer data.

QUALIFICATIONS

Bachelor’s degree in Engineering, Computer Science, Information Technology, or a related discipline, or equivalent practical experience. Typically 2–5 years of experience in data engineering, database development, software engineering, analytics engineering, or a related role. Working proficiency in SQL and Python. Experience developing or supporting ETL/ELT pipelines. Hands-on experience with AWS or another cloud-based data platform. Experience working with relational databases such as PostgreSQL, Microsoft SQL Server, or Oracle. Experience processing structured and semi-structured formats such as JSON, CSV, and Parquet. Familiarity with API ingestion, authentication, pagination, batch processing, incremental loading, and data validation. Familiarity with Git, pull requests, code reviews, testing, and deployment workflows. Ability to investigate data issues and communicate progress, risks, and blockers clearly. Ability to collaborate with technical and business stakeholders in a global environment. Strong problem-solving, organizational, documentation, and communication skills. Ability to work 8 hours of overlap with [Eastern/Central] US business hours Ability to quickly learn and apply enterprise AI tools and technologies to support technical workflows and business objectives.

PREFERRED QUALIFICATIONS

• Experience with GA4 data models or APIs.
• Familiarity with marketing attribution, campaign tracking, and UTM structures.
• Experience working with paid-media or social-media APIs.
• Familiarity with AWS S3, Glue, Athena, and CloudWatch.
• Familiarity with Databricks, PySpark, Airflow, or similar data-processing and orchestration technologies.
• Experience working in an Agile environment.

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. 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.