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Data Engineer / Cloud Data Engineer (AI Center of Excellence)

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Summary

Designs, builds, and maintains enterprise cloud data platforms and ETL/ELT pipelines that power AI, analytics, and reporting within NNIT's AI Center of Excellence. Core stack includes SQL, Python, Microsoft Azure (Data Factory, Fabric), Databricks, Snowflake, Delta Lake, and dbt.

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.

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

WHO WE ARE

NNIT is a fast-growing IT company with ambitious goals and 1,600 employees. At NNIT, you can make your mark on some of the most challenging projects in the industry, on our journey forward as a company, and on your own career.

You\'ll work in agile teams with other passionate people in a culture with room for independent thinking and individual responsibility. We supply IT services to large enterprises that demand high levels of quality and security, and we take on the responsibility for our clients\' IT as if it were our own. We live our values every day, so you should be able to see yourself in them.

We are: Conscience driven. Value adding. Open and honest.

Our everyday work is characterized by an open and honest atmosphere, and we put emphasis on creating a challenging yet fun working environment. We pay significant attention to job satisfaction, and personal and professional development. On top of the statutory benefits stipulated by the local law, NNIT DLSP employees enjoy the following benefits upon joining:

  • Competitive Compensation
  • 13th Month Pay
  • Performance Bonus (discretionary)
  • Rice Subsidy
  • Communication Allowance
  • Clothing and Laundry Allowance
  • Medical Allowance (Employee and Dependent)
  • HMO (Employee and Dependent/s)
  • Life Insurance
  • Vacation Leaves and Sick Leaves
  • Emergency Loan
  • Year-End Gift
  • Wedding Gift
  • First Baby Gift
  • Breakfast once a week
  • Fruits, Snacks / Well-stocked pantry
  • Flexible Working Hours

Hybrid set up Related positions: Data Engineer

Analytics Engineer Cloud Data Engineer Data Platform Engineer

Business Intelligence Engineer ETL Developer Notes:

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

See also

Data Engineering jobs by country — openings, pay and top skills →

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