Cloud Data Engineer

Data Engineer

NNIT AI Center of Excellence

Type of contract: Full-time

Location(s): Philippines

Language(s): English

Mobility: N/A

Application Deadline:

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.

What You’ll Do

Build Data Platforms

• 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.

Engineer for Scale

• 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.

Partner with Stakeholders

• 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.

What You’ll Bring

We’re looking for engineers who combine technical expertise with business understanding, collaboration, and continuous learning.

Education

• Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, or a related field.

Professional Experience

• 4–7 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.
• Experience working within consulting, enterprise IT, or global delivery organizations is highly desirable.

Core Competencies

• Strong analytical and systems thinking.
• Solid data engineering fundamentals.
• Ability to translate business needs into scalable data solutions.
• Excellent written and verbal English communication skills.
• Ability to work effectively with technical and non-technical stakeholders.
• Ownership, accountability, and commitment to continuous learning.

Technologies You’ll Use

You’ll work with modern cloud data platforms and engineering tools that enable enterprise analytics, reporting, and Artificial Intelligence. While experience with every technology isn’t required, we’re looking for engineers with a strong technical foundation and the ability to learn and adopt modern data technologies.

Programming

• Python
• SQL

Data Platforms

• Microsoft Fabric
• Azure Data Factory
• Databricks
• Snowflake
• Lakehouse Architecture
• Delta Lake
• Data Build Tool (DBT) (preferred)

Cloud & Engineering

• Microsoft Azure
• REST APIs
• Git
• Docker
• CI/CD

Working in a Global Delivery Environment

At NNIT, you’ll work as part of One Global Team, collaborating directly with architects, consultants, AI engineers, analysts, and business stakeholders across Europe, Asia, and other regions. You’ll contribute throughout the data solution lifecycle—from architecture and engineering to deployment and continuous improvement.

Experience In The Following Environments Is Preferred

• Global consulting firms.
• Enterprise technology organizations.
• Global Capability Centers (GCCs).
• Shared Services organizations.
• Multinational delivery teams operating across multiple countries and time zones.
• Customer-facing or cross-functional project environments.

Industry Experience

Many of our customers operate in highly regulated industries where trusted data, security, compliance, and governance are business-critical. Exposure to enterprise data governance and compliance frameworks such as GxP, CSV, GDPR, HIPAA, ISO 27001, or similar standards is beneficial but not required.

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

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

Your Background

This role is well suited for professionals who have built enterprise data platforms while working closely with business stakeholders and cross-functional delivery teams.

Previous Roles

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

Previous Environments

• Global Consulting
• Enterprise IT
• Global Capability Centers (GCCs)
• Shared Services
• Multinational Technology Companies

Additional Experience

Experience with the following technologies or practices will help you contribute more quickly:

Data & Analytics

• Microsoft Purview
• Microsoft Power BI