Cloud Data Engineer

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

Data Engineer
NNIT AI Center of Excellence

________________________________________

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

You’ll:

• 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

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

You’ll:

• 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

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

You’ll:

• 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

Develop scalable data solutions using modern programming languages and database technologies.

• Python
• SQL

________________________________________

Data Platforms

Design enterprise data platforms that support analytics, reporting, and AI workloads.

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

________________________________________

Cloud & Engineering

Build secure, scalable, and maintainable cloud-native data solutions.

• 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. 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.

________________________________________

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:

AI & Modern Data

• Vector Databases
• AI-ready Data Platforms
• Real-time Data Streaming
• Infrastructure as Code

________________________________________

How We Work

Our engineering culture emphasizes collaboration, quality, and continuous improvement.

• Hybrid work arrangement.
• Agile delivery methodology.
• Cross-functional global teams.
• Direct collaboration with international stakeholders.
• Continuous learning and knowledge sharing.

________________________________________

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

Design enterprise data platforms that enable AI, analytics, and data-driven decision-making.

Work Across Borders

Collaborate with experienced architects, engineers, and business leaders across Europe, Asia, and other international locations.

Grow Your Expertise

Expand your capabilities across cloud data engineering, Artificial Intelligence, enterprise consulting, and global delivery while working with modern Microsoft and cloud technologies.

Shape the Future

Help define how enterprise data platforms are designed, governed, and leveraged to accelerate AI adoption within NNIT and for our global customers.

________________________________________

You'll Thrive Here If...

• You enjoy designing scalable and reliable data platforms.
• You think like a consultant as well as an engineer.
• You take ownership from architecture through production.
• You collaborate effectively with global teams and business stakeholders.
• You continuously learn emerging cloud, data, and AI technologies.
• You believe trusted data is the foundation of successful AI solutions.

________________________________________

About NNIT

NNIT is a publicly listed company that specializes in IT solutions to life sciences internationally, and to the public and enterprise sectors in Denmark. We focus on high complexity industries and thrive in environments where regulatory demands and complexity are high. We advise on and build sustainable digital solutions that work for the patients, citizens, employees, end users or customers.

NNIT consists of group company NNIT A/S and subsidiaries SCALES, Excellis Health Solutions and SL Controls. Together, these companies employ more than 1,600 people in Europe, Asia, and USA.

We celebrate diversity and are dedicated to fostering an inclusive environment for all employees. We actively work to eliminate bias and ensure an inclusive workplace where everyone has the right to be seen and heard as they are. We invite interested candidates to apply, no matter their background.

In the interest of fostering a fair and unbiased recruitment process, we kindly request candidates to refrain from including their pictures in their applications.