Data Engineer
Summary
The Data Engineer will build and maintain scalable data pipelines and ETL/ELT processes to support business decision-making. The role involves automating workflows using Python and SQL while ensuring data integrity across various cloud and database platforms.
MID DATA ENGINEER | BUILD THE DATA BEHIND BETTER DECISIONS
Location: Metro Manila | Work Setup: On-site | Experience: Mid-level
Ready to take your data engineering skills to the next level? Join our growing Information Systems Technology team and help build the data infrastructure that powers smarter business decisions across our group of companies.
What You'll Do
Build and maintain scalable data pipelines and ETL/ELT processes
Integrate data from APIs, databases, cloud platforms, and other sources
Optimize data systems for performance, reliability, and scalability
Ensure data quality, accuracy, and integrity
Work with the data team to deliver clean, reliable, and accessible data
Automate data workflows using Python and SQL
Troubleshoot data issues and support reporting and data extraction needs
What We're Looking For
Bachelor's degree in Computer Engineering, Data Science, Statistics, Physics, IT, or a related field
Professional experience in Data Engineering or a related role
Strong skills in Python, SQL, ETL/ELT, data pipelines, and data modeling
Experience with Azure, Databricks, AWS, Power BI, GitHub, or Linux
Knowledge of Apache Spark, APIs, data wrangling, and data quality
Familiarity with Agile methodologies such as Scrum or Kanban
Strong problem-solving and communication skills
Plus points: Experience with Microsoft SQL Server, Dynamics 365/Business Central, LS Central, Tableau, JavaScript, HTML/CSS, or AL.
Why Join Us?
Work with a team where technology meets real-world business impact. You'll have the opportunity to work with modern data technologies, solve meaningful problems, and help build systems that support better decisions across multiple brands.