Sr. Data Engineer

Filinvest Group; Muntinlupa; On-site; PHP 1,200,000 - 2,000,000; Full time

Job summary

Filinvest Group is seeking a Senior Data Engineer to design, build, and manage scalable data pipelines within the Enterprise Data Platform (EDP) using Azure Databricks and Azure Data Factory. You will enable reliable, governed data integration for analytics, reporting, and advanced use cases.

The role focuses on high-performance data processing, data quality, and collaboration with stakeholders to deliver robust data services across source systems.

Qualifications

• Bachelor's degree in CS or IT.
• Experience with Azure Databricks and Azure Data Factory.
• Strong data modeling and governance knowledge.

Responsibilities

• Design, build, and manage scalable data pipelines on Azure Databricks and Data Factory.
• Ensure data quality, governance, security, and compliance across platforms.
• Mentor engineers and promote reusable data engineering patterns and automation.

Skills

Data engineering

Azure

Databricks

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

Apache Spark

Job description

Job Summary

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

This position combines hands-on data engineering, platform optimization, and stakeholder coordination, ensuring the delivery of robust, secure, and business-aligned data solutions while supporting data governance and best practices.

DataEngineering & Pipeline Development

• 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

PlatformOperations & 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

TeamManagement

• Provide guidance to data engineers and developers on best practices in Azure and Databricks
• Review code, pipelines, and technical designs to ensure quality and standards compliance
• Support the team in resolving technical issues and improving delivery efficiency
• Promote reusable frameworks, templates, and automation practices
• Mentor team members on data engineering concepts and cloud-based architectures

StakeholderEngagement

• Collaborate with business units, analytics teams, and platform engineers to gather and validate data requirements
• Translate business needs into scalable data models and pipelines
• Act as liaison between source system owners, data consumers, and platform teams
• Communicate pipeline status, issues, and improvements to stakeholders
• Support analytics and BI teams by ensuring availability of clean and reliable datasets

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