Data Engineer Lead — Build Scalable Pipelines & Governance

Our Clients; Makati; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

Our Clients in Makati City (Hybrid) seeks a Data Engineer Lead to drive the design, construction, and optimization of scalable data pipelines and modern data infrastructure. You will champion data governance, lead a technical team, and work with cross-functional leaders to transform raw data into analytics-ready assets that inform strategic decisions.

You will oversee end-to-end data architectures, mentor engineers, collaborate with data scientists and business stakeholders, and ensure ISO 27001

Qualifications

• Proven experience as a Senior or Lead Data Engineer, preferably in professional services, consulting, or financial environments.
• Strong proficiency in programming languages (Python, SQL, Scala) and modern data pipeline tools.
• Solid experience with cloud data platforms (AWS, Azure, or Google Cloud) and data warehousing architectures.
• Hands-on expertise with big data technologies, orchestration tools, and relational/non-relational databases.

Responsibilities

• Lead end-to-end design, development, and maintenance of robust data architectures and ETL/ELT pipelines.
• Oversee and mentor a team of data engineers, ensuring code quality and best practices.
• Collaborate with data scientists, analysts, and business stakeholders to translate analytics requirements into data models.
• Enforce data governance, security protocols, and ISO 27001 compliance controls.

Skills

Python

SQL

Scala

Data pipelines

Leadership

Tools

Airflow

dbt

Cloud platforms

Job description

Our Clients in Makati City (Hybrid) seeks a Data Engineer Lead to drive the design, construction, and optimization of scalable data pipelines and modern data infrastructure. You will champion data governance, lead a technical team, and work with cross-functional leaders to transform raw data into analytics-ready assets that inform strategic decisions.

You will oversee end-to-end data architectures, mentor engineers, collaborate with data scientists and business stakeholders, and ensure ISO 27001