Sr. Data Engineer

Hammerjack Pty Ltd; Taguig; On-site; PHP 1,800,000 - 3,200,000; Full time

Job summary

Hammerjack Pty Ltd in Taguig, Metro Manila, Philippines, is seeking an experienced Senior Data Engineer to design, build, and optimize large-scale data pipelines and data models on cloud platforms.

You will support major data migration initiatives, collaborate with analytics and product teams, and contribute to data governance and reliability across the enterprise. Strong Python/SQL, ETL/ELT expertise, and cloud experience are required.

Qualifications

• At least 8 years of total Data Engineering experience.
• Proven experience designing, building, and optimizing scalable data solutions.

Responsibilities

• Design, build, and optimize automated data pipelines and data models.
• Support large-scale data migration initiatives with minimal disruption.
• Collaborate with business and product teams to translate data needs into solutions.
• Document data workflows and runbooks for operational stability.
• Mentor junior engineers and conduct code reviews.

Skills

Python

SQL

ETL/ELT development

Data modeling

Cloud data architectures

Tools

Databricks

Snowflake

Azure Data Factory

Azure Synapse

Azure Storage

Job description

Job Description

• Design, build, and optimize automated data pipelines, ETL/ELT processes, and data models to ingest, process, and store large volumes of data within cloud-based platforms.
• Support large-scale data migration initiatives, ensuring data accuracy, performance efficiency, and minimal business disruption.
• Develop and maintain ETL/ELT workflows to ingest, transform, and load data from multiple internal and external sources with a focus on scalability and reliability.
• Partner with business, analytics, and product teams to translate data requirements into effective technical solutions that support strategic initiatives.
• Design and deliver data marts and customized data extractions aligned with business and reporting needs.
• Ensure compliance with enterprise data governance, security, and regulatory standards. Monitor data pipeline health and performance, troubleshoot data incidents, and implement preventive and corrective measures.
• Document data workflows, schemas, technical specifications, and operational runbooks to support operational stability and knowledge transfer.
• Collaborate closely with product owners, data architects, and data scientists to maintain a reliable and efficient data infrastructure.
• Drive continuous improvement of data engineering practices, tools, and automation frameworks.
• Provide technical guidance and mentorship to junior engineers through code reviews, best-practice sharing, and troubleshooting support.
• Manage and deliver multiple data engineering initiatives concurrently while meeting quality, scope, and timeline expectations.

Requirements

Experience

• At least 8 years of total Data Engineering experience, with strong exposure to large-scale data pipelines, ETL/ELT development, and enterprise or cloud-based data platforms.
• Proven experience designing, building, and optimizing scalable data solutions in modern data environments.

Knowledge

• Python – At least 4 out of 5 proficiency level, with strong hands-on experience in data transformation, automation, and pipeline development.
• SQL – At least 3 out of 5 proficiency level, with demonstrated capability in complex queries, data modeling, and performance tuning.
• Experience working with modern data cloud platforms, such as Databricks and/or Snowflake.
• Experience with cloud services, preferably Microsoft Azure (e.g., Azure Data Factory, Azure Synapse, Azure Storage, etc.).
• Platform and Cloud Exposure - Currently working with or has recent hands‑on experience in enterprise-grade cloud data ecosystems. With a strong understanding of cloud-native data architecture and best practices.

Soft Skills

• Strong verbal and written communication skills
• Demonstrated leadership and technical influence
• Strong analytical, critical thinking, and problem-solving abilities
• Process orientation with the ability to enforce standards and best practices
• Strong organizational, multitasking, and time-management skills
• Stakeholder and cross-functional collaboration skills