[Urgent Hiring] Data Engineer / Cloud Data Engineer (AI Center of Excellence)

NNIT Digital & Life Sciences Philippines Inc.; Makati; On-site; PHP 1,200,000 - 1,800,000; Full time

Job summary

NNIT Digital & Life Sciences Philippines Inc. is seeking a Data Engineer to design, build, and maintain enterprise data platforms powering AI and analytics.

You will work within NNIT's AI Center of Excellence, collaborating with architects, AI engineers, consultants, and stakeholders across regions to deliver scalable, AI-ready data solutions for global customers. Your role emphasizes data engineering fundamentals, systems thinking, and transforming complex business requirements into robust data

Qualifications

• 4+ years in Data Engineering or Software Engineering.
• Strong SQL and Python programming skills.
• Experience building enterprise data platforms and ETL/ELT pipelines.

Responsibilities

• Design and develop enterprise data platforms for AI and analytics.
• Build scalable data pipelines and data lakes/lakehouses.
• Ensure data quality, reliability, and observability.
• Optimize pipelines for scalability, performance, and cost.
• Collaborate with AI engineers, architects, and stakeholders.
• Contribute to governance, security, and platform modernization initiatives.

Skills

SQL

Python

ETL/ELT

Cloud data platforms

Agile methodologies

Data architecture

Data governance

DevOps

AI/ML data readiness

Tools

Azure Data Factory

Databricks

Snowflake

Lakehouse/Delta Lake

DBT

Microsoft Fabric

REST APIs

Git

Docker

CI/CD

Job description

About the Role

As a Data Engineer, you'll design, build, and maintain enterprise data platforms that enable Artificial Intelligence, analytics, and digital transformation. Working within NNIT's AI Center of Excellence, you'll develop scalable, trusted, and AI-ready data solutions that support business-critical applications across global organizations.

You'll collaborate with solution architects, AI engineers, consultants, product owners, and business stakeholders across Europe, Asia, and other regions to design modern data platforms that power enterprise AI and advanced analytics.

Success in this role requires strong data engineering fundamentals, systems thinking, and the ability to transform complex business requirements into scalable, high-quality data solutions that enable informed decision-making and AI innovation.

Roles and Responsibilities:

1. Build Data Platforms

Design and develop modern data platforms that transform raw data into trusted, AI-ready information assets.

• Design and develop enterprise data pipelines using ETL/ELT frameworks.
• Build scalable data lakes, lakehouses, and cloud-native data platforms.
• Develop semantic models and AI-ready datasets for analytics and AI workloads.
• Integrate data from enterprise applications, cloud platforms, APIs, and external data sources.
• Design scalable, secure, and maintainable data architectures.

2. Engineer for Scale

Build enterprise data solutions that are reliable, secure, and optimized for performance.

• Improve data quality, reliability, availability, and observability.
• Optimize data pipelines for scalability, performance, and cost efficiency.
• Apply modern data engineering, testing, and DevOps practices.
• Build reusable frameworks, templates, and engineering standards.
• Support enterprise data governance and platform modernization initiatives.

3. Partner with Stakeholders

Work closely with technical and business teams to deliver trusted data that powers reporting, analytics, and AI solutions.

• Translate business requirements into scalable data solutions.
• Collaborate with AI engineers, architects, analysts, consultants, and business stakeholders.
• Support enterprise reporting, analytics, and AI initiatives.
• Recommend improvements to data architecture, engineering practices, and platform capabilities.
• Share knowledge and contribute to the growth of the AI Center of Excellence.

What Success Looks Like

Success in this role means you:

• Deliver scalable and reliable enterprise data platforms.
• Improve data quality, accessibility, and operational efficiency.
• Enable AI-ready data for analytics and intelligent applications.
• Contribute reusable engineering assets and best practices.
• Support the continued growth and technical maturity of NNIT's AI Center of Excellence.

Qualifications:

Technical Skills:

• At least 4 years of Data Engineering or Software Engineering experience.
• Strong SQL and Python programming skills.
• Experience building enterprise data platforms and ETL/ELT pipelines.
• Experience working with cloud-based data platforms.
• Experience delivering solutions using Agile methodologies.
• Microsoft Fabric
• Azure Data Factory
• Databricks
• Snowflake
• Lakehouse Architecture
• Delta Lake
• Data Build Tool (DBT) (preferred)
• Microsoft Azure
• REST APIs
• Git
• Docker
• CI/CD

Industry Experience

Many of our customers operate in highly regulated industries where trusted data, security, compliance, and governance are business-critical. Experience supporting these environments will help you design enterprise data platforms that meet operational and regulatory expectations.

Experience supporting one or more of the following industries is advantageous:

• Life Sciences
• Pharmaceuticals
• Biotechnology
• Healthcare
• Medical Devices
• Banking & Financial Services
• Insurance
• Manufacturing

Exposure to enterprise data governance and compliance frameworks such as GxP, CSV, GDPR, HIPAA, ISO 27001, or similar standards is beneficial but not required.

Why Join NNIT's AI Center of Excellence?

Joining the AI Center of Excellence gives you the opportunity to build the data foundation that powers enterprise AI and digital transformation for global organizations while expanding your expertise across cloud data platforms, Artificial Intelligence, enterprise consulting, and global delivery.

• Build Solutions That Matter
• Work Across Borders
• Grow Your Expertise
• Shape the Future

Related positions:

• Data Engineer
• Analytics Engineer
• Cloud Data Engineer
• Data Platform Engineer
• Business Intelligence Engineer
• ETL Developer

Notes:

1. By applying to this job ad, you acknowledge and agree for your information to be collected by NNIT. Rest assured, any information you share will only be used for recruitment/hiring purposes.

2. This position is available only to those with current authorization to live and work in the Philippines.