Data Engineer

Relx Plc; Manila; On-site; PHP 600,000 - 900,000; Full time

Job summary

Relx plc in Manila is hiring a Data Engineer to develop, test, and maintain ETL/ELT pipelines ingesting data from GA4, paid media, social media, and other platforms. You will build API and batch ingestion workflows, integrate data into an AWS data lake, and ensure data quality and governance.

The role requires 2–5 years in data engineering, strong SQL/Python skills, and hands-on AWS experience. Collaboration with engineers and analysts across a global business is essential.

Qualifications

• Bachelor’s degree in Engineering, CS, IT or related field.
• 2–5 years in data engineering or related roles.
• Proficient in SQL and Python.
• Experience building ETL/ELT pipelines.
• Experience with AWS or other cloud data platforms.
• Familiar with JSON, CSV, Parquet formats.
• Git, PRs, testing and deployment workflows.
• Able to collaborate across global teams.

Responsibilities

• Develop, test, and maintain ETL/ELT pipelines.
• Build API and batch-ingestion workflows with pagination and retries.
• Integrate marketing and engagement data into AWS data lake.
• Transform data into consistent, reusable datasets with standards.
• Monitor pipelines and troubleshoot data quality and performance issues.
• Collaborate with Sr. Engineers and stakeholders to translate requirements into tasks.
• Implement data-governance, privacy, access, and retention rules.
• Participate in Agile planning, estimation, and retrospectives.

Skills

SQL

Python

ETL/ELT

Data pipelines

Data quality

Git workflows

Communication

Education

Bachelor's degree in Engineering/CS/IT or related

Tools

AWS

S3

Glue

Athena

CloudWatch

Databricks

PySpark

Airflow

PostgreSQL

MS SQL Server

Job description

## Data EngineerApply: Manila: Full time: Posted Today: R119223ACCOUNTABILITIES• 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. Click** **here** **to access benefits specific to your location.**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.