Data Engineer / Cloud Data Engineer (AI Center of Excellence)
NNIT
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Benefits offered by this job
Job summary
NNIT is seeking a Data Engineer to design, build, and maintain enterprise data platforms powering AI, analytics, and digital transformation. You will join NNIT's AI Center of Excellence and collaborate across Europe, Asia, and other regions to deliver scalable, AI-ready data solutions for global organizations.
Responsibilities include building data platforms, pipelines, and semantic models; ensuring data quality, security, and governance; and partnering with AI engineers and stakeholders to
Qualifications
- 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 with Microsoft Fabric, Databricks, Snowflake, Lakehouse Architecture.
- DBT is preferred.
- Experience with REST APIs, Git, Docker, CI/CD.
Responsibilities
- Build Data Platforms: design and develop modern data platforms.
- Create data pipelines using ETL/ELT frameworks.
- Build scalable data lakes, lakehouses, and cloud-native platforms.
- Develop AI-ready datasets and semantic models.
- Integrate data from enterprise apps, cloud platforms, APIs, and external sources.
- Design scalable, secure, maintainable data architectures.
Skills
Tools
Job description
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.
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.
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.
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.
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.
- 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.
- Microsoft Fabric
- Databricks
- Snowflake
- Lakehouse Architecture
- Data Build Tool (DBT) (preferred)
- REST APIs
- Git
- Docker
- CI/CD
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
- Medical Devices
- 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.
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
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
- 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:
- Business Intelligence Engineer
- ETL Developer
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.
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