Senior Data Engineer - Azure Databricks Data Pipelines Lead

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

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.