Data Engineering Lead (Pre-sales)

NCS Philippines; Taguig; Hybrid; PHP 1,200,000 - 1,800,000; Full time

Job summary

NCS Philippines in Taguig seeks a Senior Data Engineering Lead to mentor a team of data engineers and drive enterprise-scale data pipelines and architectures.

You will partner with data scientists and business stakeholders to translate requirements into scalable solutions, design and maintain ETL/ELT pipelines, and implement modern frameworks across cloud platforms to ensure data quality and governance.

Qualifications

• 2–3 years in a leadership or senior technical role in data engineering.
• Proven experience building and managing enterprise data pipelines and architectures.
• Strong cloud platform experience (AWS, Azure, or GCP).

Responsibilities

• Lead and mentor a team of data engineers.
• Define and enforce data engineering standards and architectural guidelines.
• Collaborate with data scientists, analysts, and stakeholders to design scalable solutions.
• Design and maintain high-performance ETL/ELT pipelines.
• Build and optimize data lake, data warehouse, and streaming data solutions.
• Ensure support for structured, semi-structured, and unstructured data.
• Develop data transformation processes for analytics-ready datasets.
• Implement data quality checks and governance.
• Define data remediation strategies.
• Implement and manage cloud-based data platforms (AWS, Azure, or GCP).
• Apply Spark, Kafka, Airflow, DBT for processing.
• Oversee data modeling and database optimization.
• Ensure data accuracy and availability.
• Monitor, troubleshoot, and optimize pipelines to meet SLAs.
• Stay current with emerging data engineering technologies.
• Suggest improvements for scalability and reliability.

Skills

Data engineering

Team leadership

Data pipelines

Tools

Spark

Kafka

Airflow

DBT

SQL/NoSQL

Job description

MAIN REQUIREMENTS:

• Data Engineering

• Pre-sales

RELATED WORK EXPERIENCE -

• Experience in data engineering, with at least 2-3 years in a leadership or senior technical role.

• Proven expertise in building and managing enterprise-level data pipelines and architectures.

• Strong experience with one or more cloud platforms (AWS, Azure, GCP).

DUTIES AND RESPONSIBILITIES:

• Lead and mentor a team of data engineers, fostering collaboration, innovation, and continuous improvement.

• Define and enforce data engineering standards, coding practices, and architectural guidelines.

• Partner with data scientists, analysts, and business stakeholders to translate requirements into scalable solutions.

• Design and maintain high-performance ETL/ELT pipelines and workflows.

• Build and optimize data lake, data warehouse, and streaming data solutions.

• Ensure systems support structured, semi-structured, and unstructured data sources.

• Develop data transformation and preparation processes to deliver clean, reliable, analytics-ready datasets.

• Implement validation, anomaly detection, and automated quality checks to ensure accuracy and consistency.

• Define and execute data remediation strategies to resolve issues with minimal business disruption.

• Implement and manage cloud-based data platforms (AWS, Azure, or GCP).

• Apply modern frameworks (e.g., Spark, Kafka, Airflow, DBT) for efficient data processing.

• Oversee data modeling, schema design, and database optimization (SQL/NoSQL).

• Ensure accuracy, consistency, and availability of data across platforms.

• Implement governance, lineage, validation frameworks, and security best practices.

• Monitor, troubleshoot, and optimize pipelines to meet SLAs and performance benchmarks.

• Stay current with emerging data engineering and analytics technologies.

• Recommend improvements to systems, tools, and processes to enhance scalability, reliability, and quality.

• Other job-related activities that may be assigned from time to time.