Senior Data Engineer — Pipelines & Modeling (Hybrid)

Hammerjack Pty Ltd; Manila; Hybrid; PHP 1,000,000 - 1,600,000; Full time

Job summary

One of the Global Client in Taguig City is seeking a Senior Data Engineer to design, develop and maintain data pipelines from diverse sources into the data warehouse. You will build data models aligned with business needs and ensure scalable, reliable orchestration across workflows.

Collaborating with data engineering teams, vendors and stakeholders, you will apply DevOps practices, document solutions and take end-to-end ownership of data products, processes and systems.

Qualifications

• 5+ years of experience as Senior Data Engineer
• Design, develop and maintain data pipelines from sources into the data warehouse
• Design and implement data models that align with business requirements and support querying and analysis
• Ensure orchestration pipelines are reliable, scalable and efficient
• Collaborate with data engineering teams, vendors and internal stakeholders to improve data products, processes and systems
• Follow data engineering best practices including coding, DevOps, documentation and metadata standardisations
• Experience with the management and nature of audience tracking and subscribers datasets
• Take ownership and accountability for assigned work, including development and end-to-end testing
• Ability to conduct feasibility assessments of architectural and data modelling options, evaluating trade-offs and limitations
• Ensure high standard and ongoing quality of Engineering output whilst meeting project timelines
• Document existing and future solution designs to enhance the team's knowledge

Skills

Data pipelines

Data modeling

Orchestration pipelines

Stakeholder collaboration

DevOps practices

Testing & QA

Audience tracking data

End-to-end ownership

Job description

One of the Global Client in Taguig City is seeking a Senior Data Engineer to design, develop and maintain data pipelines from diverse sources into the data warehouse. You will build data models aligned with business needs and ensure scalable, reliable orchestration across workflows.

Collaborating with data engineering teams, vendors and stakeholders, you will apply DevOps practices, document solutions and take end-to-end ownership of data products, processes and systems.