Senior Data Engineer - Cloud ETL & Analytics Platform

Copeland Philippines, Inc; Quezon City; Hybrid; PHP 1,200,000 - 2,400,000; Full time

Benefits offered by this job

Hybrid work model

Onsite 3 days per week

Job summary

Copeland Philippines, Inc. is seeking a senior Data Engineer to design, develop, and maintain scalable data pipelines for marketing and enterprise systems.

You will build ELT/ETL solutions using Azure Data Factory, Snowflake, dbt, SQL, and Python, while creating reusable data models for analytics and personalization. The role requires 7–10 years of data engineering experience and strong cloud data integration and data warehousing expertise.

Qualifications

• Bachelor's degree in CS/IT/Engineering or related discipline.
• 7–10 years of Data Engineering experience.
• Strong expertise in Azure Data Factory, Snowflake, dbt, SQL, and Python.
• Experience building enterprise ETL/ELT pipelines and cloud data integration solutions.
• Strong understanding of data warehousing, dimensional modeling, and enterprise data architecture.
• Experience with APIs, CRM, marketing automation, and digital analytics platforms.
• Knowledge of Git, Azure DevOps/GitHub, CI/CD, data governance, metadata, lineage, and security.
• Excellent analytical, troubleshooting, and communication skills.

Responsibilities

• Design, develop, and maintain scalable data pipelines that ingest, transform, and deliver marketing and enterprise data across multiple business systems.
• Develop high-quality ELT/ETL solutions using ADF, dbt, Snowflake, SQL, and Python.
• Build and maintain reusable data models supporting marketing analytics, customer insights, campaign reporting, segmentation, attribution, and personalization.
• Ensure data is transformed, validated, and stored using efficient and scalable design patterns.
• Optimize Snowflake performance, resource utilization, and query execution while promoting cost-efficient processing.
• Maintain technical expertise in modern cloud data platforms and follow SDLC, coding standards, version control, documentation, and deployment processes.
• Collaborate with Marketing, Analytics, Digital, and Business stakeholders to translate business requirements into scalable technical solutions.
• Analyze source systems and data flows to improve data quality, reliability, and operational efficiency.
• Design scalable data models and transformation logic aligned with enterprise architecture.
• Develop and execute testing strategies to ensure data accuracy and successful deployments.
• Recommend innovative and practical solutions that simplify design while meeting business needs.
• Monitor and support production data pipelines ensuring reliability and timely issue resolution.
• Collaborate with Platform Engineering, DevOps, Enterprise Architecture, and Data Governance teams.
• Identify operational risks, performance bottlenecks, and data quality issues and recommend improvements.
• Maintain technical documentation including solution designs, data lineage, metadata, and operational procedures.
• Participate in release planning, deployments, and production support.
• Communicate project status, delivery timelines, and technical risks effectively.

Skills

Azure Data Factory

Snowflake

dbt

SQL

Python

Data modeling

ETL/ELT pipelines

Education

Bachelor's Degree in Computer Science/IT/Engineering

Tools

Git

Azure DevOps

CI/CD

Job description

Copeland Philippines, Inc. is seeking a senior Data Engineer to design, develop, and maintain scalable data pipelines for marketing and enterprise systems.

You will build ELT/ETL solutions using Azure Data Factory, Snowflake, dbt, SQL, and Python, while creating reusable data models for analytics and personalization. The role requires 7–10 years of data engineering experience and strong cloud data integration and data warehousing expertise.