Senior Data Engineer

Filinvest Business Services Corporation; Muntinlupa; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

Filinvest Business Services Corporation is seeking a Senior Data Engineer to design, build, and manage scalable data pipelines and data platform solutions using Azure and Databricks. The role focuses on reliable, governed, high-performance data integration across multiple source systems to support analytics and reporting.

Key duties include developing ETL/ELT processes, handling batch and near real-time processing, and ensuring data quality and security across pipelines.

Qualifications

• Experience designing data pipelines in Azure Databricks and Azure Data Factory.
• Knowledge of data governance, security, and compliance.
• Strong data modeling and performance optimization skills.
• Experience with batch and streaming data processing.
• Familiarity with data platform operations and reliability.

Responsibilities

• Design, build, and maintain scalable data pipelines.
• Ingest, transform, and load data into the data platform.
• Develop batch and near real-time processing solutions.
• Apply medallion architecture for structured data processing.
• Ensure data quality, governance, and security across datasets.
• Monitor and optimize pipelines, jobs, and Spark queries.

Skills

Data engineering

Databricks

Azure Data Platform

Data modeling

Performance optimization

Data governance & security

DevOps & automation

Education

Bachelor's degree in Computer Science or Information Technology

Tools

Azure Databricks

Azure Data Factory

Delta Lake

Job description

The Senior Data Engineer is responsible for designing, building, and managing scalable data pipelines and data platform solutions within the Enterprise Data Platform (EDP) using Azure and Databricks. The role focuses on enabling reliable, governed, and high performance data integration and transformation across multiple source systems to support analytics, reporting, and advanced data use cases.

Duties and Responsibilities

• Design, develop, and maintain scalable data pipelines using Azure Databricks, Azure Data Factory, and related services
• Implement ETL/ELT processes to ingest, transform, and load data into the Enterprise Data Platform
• Develop batch and near real-time data processing solutions
• Apply medallion architecture (bronze, silver, gold layers) for structured data processing
• Ensure data quality, consistency, and integrity across pipelines and datasets Platform Operations & Optimization
• Monitor, maintain, and optimize data pipelines, workflows, and jobs in Databricks and Azure
• Troubleshoot pipeline failures, performance issues, and data inconsistencies
• Optimize Spark jobs, query performance, and storage utilization (e.g., Delta Lake optimization)
• Ensure high availability, scalability, and reliability of data services
• Maintain documentation and ensure compliance with data governance, security, and operational standards

Technical Competencies and Skills

• Data Engineering & Databricks, Azure Data Platform, Data Modeling & Performance Optimization, Data Governance & Security, DevOps & Automation

Education, Trainings and Licenses Required

• Bachelor's degree in Computer Science, Information Technology