Senior Data Engineer: Cloud Pipelines & Migrations

Hammerjack Pty Ltd; Philippines; On-site; PHP 2,400,000 - 3,600,000; Full time

Job summary

Hammerjack Pty Ltd. seeks a Senior Data Engineer to design, develop, and maintain scalable data pipelines for migrating legacy platforms to modern cloud environments. You will collaborate with product, analytics, and data science teams to deliver reliable data infrastructure and actionable insights.

The role requires extensive experience with Databricks, Snowflake, and Azure data services, along with strong Python and SQL skills, and a focus on reliability and governance.

Qualifications

• At least 8 years of total Data Engineering experience.
• Proven ability to design, build, and optimize scalable data solutions.

Responsibilities

• Design, build, and optimize automated data pipelines and data models in cloud platforms.
• Support large-scale data migration initiatives with data accuracy and minimal disruption.
• Develop and maintain ETL/ELT workflows ingesting data from multiple sources with scalability.
• Collaborate with business and analytics teams to translate data requirements into technical solutions.
• Design data marts and data extractions aligned with reporting needs.
• Ensure compliance with data governance, security, and regulatory standards.
• Monitor pipeline health, troubleshoot incidents, and implement preventive measures.
• Document workflows, schemas, and runbooks for stability and knowledge transfer.
• Work with product owners, data architects, and scientists to maintain reliable data infrastructure.
• Drive continuous improvement of data engineering practices and automation.

Skills

Leadership

Analytical thinking

Communication

multitasking

Tools

Databricks

Snowflake

Azure Data Factory

Azure Synapse

Azure Storage

Job description

Hammerjack Pty Ltd. seeks a Senior Data Engineer to design, develop, and maintain scalable data pipelines for migrating legacy platforms to modern cloud environments. You will collaborate with product, analytics, and data science teams to deliver reliable data infrastructure and actionable insights.

The role requires extensive experience with Databricks, Snowflake, and Azure data services, along with strong Python and SQL skills, and a focus on reliability and governance.