Data Engineer II: AI-Ready Data Platforms (Hybrid)

Reed Elsevier Philippines; Philippines; Hybrid; PHP 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Hybrid work setup

IT equipment provided

HMO coverage for you and dependents

Retirement package with company match

Life and accident insurance

Paid time off 24 days + 6 days after 5

Merit-based incentives

Training and certifications

Job summary

Reed Elsevier Philippines is seeking a Data Engineer to design and build modern data platforms powering analytics, AI, and digital transformation initiatives. You will develop scalable, governed data foundations and collaborate with stakeholders, architects, engineers, analysts, and AI practitioners to turn fragmented data into trusted, high-value assets.

Based in Quezon City with a hybrid setup (1 day onsite per month), the role focuses on data pipelines, data lakes/warehouses, data quality and

Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, Mathematics, Data Science, or a related field.
• 4+ years of experience in Data Engineering, Analytics Engineering, Data Platform Engineering, or similar roles.
• Strong proficiency in SQL and Python.
• Experience building ETL/ELT pipelines and modern data architectures.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud.
• Strong understanding of data modeling, data warehousing, and data management principles.
• Experience integrating data from multiple systems and APIs.
• Knowledge of data governance, security, privacy, and quality management practices.
• Strong analytical, problem-solving, and communication skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines and data platforms.
• Build and optimize data lakes, warehouses, and modern cloud-based data architectures.
• Integrate data from enterprise systems, applications, APIs, documents, and operational platforms.
• Develop reusable data products that support reporting, analytics, machine learning, automation, and AI solutions.
• Implement data quality, governance, lineage, metadata, and monitoring frameworks.
• Support the development of intelligent applications through well-structured and AI-ready datasets.
• Collaborate with technical and business teams to translate requirements into scalable solutions.
• Champion best practices in data engineering, platform reliability, automation, and security.
• Contribute to the evolution of enterprise data and AI platforms.

Skills

SQL

Python

ETL/ELT pipelines

AWS

Azure

Google Cloud

Data modeling

Data warehousing

Data governance

APIs integration

Analytics

Communication

Education

Bachelor's degree

Tools

Power BI

Tableau

Job description

Reed Elsevier Philippines is seeking a Data Engineer to design and build modern data platforms powering analytics, AI, and digital transformation initiatives. You will develop scalable, governed data foundations and collaborate with stakeholders, architects, engineers, analysts, and AI practitioners to turn fragmented data into trusted, high-value assets.

Based in Quezon City with a hybrid setup (1 day onsite per month), the role focuses on data pipelines, data lakes/warehouses, data quality and