Enterprise Data Platform Engineer for AI & Analytics

Nnit A/S; Hinoba-an; Hybrid; PHP 600,000 - 1,200,000; Full time

Benefits offered by this job

Hybrid work arrangement

Job summary

NNIT AI Center of Excellence is seeking a Data Engineer to design, build, and maintain enterprise data platforms enabling AI, analytics, and digital transformation. You will collaborate with architects, AI engineers, consultants, and stakeholders across Europe, Asia, and other regions to deliver trusted data for enterprise AI initiatives.

In this role you will shape scalable data pipelines, data lakehouses, and semantic models, while advancing governance, security, and performance across

Qualifications

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

Responsibilities

• 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.
• 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.
• 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.

Skills

SQL

Python

Education

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

Tools

Microsoft Fabric

Azure Data Factory

Databricks

Snowflake

Lakehouse Architecture

Delta Lake

Data Build Tool (DBT)

Microsoft Azure

REST APIs

Git

Docker

CI/CD

Job description

NNIT AI Center of Excellence is seeking a Data Engineer to design, build, and maintain enterprise data platforms enabling AI, analytics, and digital transformation. You will collaborate with architects, AI engineers, consultants, and stakeholders across Europe, Asia, and other regions to deliver trusted data for enterprise AI initiatives.

In this role you will shape scalable data pipelines, data lakehouses, and semantic models, while advancing governance, security, and performance across