Data Engineer - Design, build and scale the foundations of data and AI

NTT DATA Business Solutions; Valby; On-site; DKK 650,000 - 900,000; Full time

Job summary

NTT DATA Business Solutions in Copenhagen is seeking a Data Engineer to design, build and scale a cloud-based data platform focused on actionable insights and AI-enabled solutions. You will develop robust data models and pipelines using Snowflake, dbt and SQL, collaborating across analysts and developers to deliver business value.

The role emphasizes hands-on work with modern cloud technologies, data engineering, analytics, and AI, within an agile SmartX team committed to knowledge sharing and

Qualifications

• Hands-on experience with Snowflake data warehouse.
• Strong SQL and data modelling skills, including dimensional modelling.
• Experience with dbt for transformations and ETL/ELT.
• Experience with data validation and automated testing.
• Experience with Git and agile development.

Responsibilities

• Develop and maintain data models.
• Build, optimize and quality-assure data pipelines in Snowflake.
• Implement transformations and documentation with dbt.
• Ensure data quality through automated testing and validation.
• Support AI-based data-driven solutions within the platform.
• Collaborate with analysts, developers and stakeholders.

Skills

SQL

Data modelling

Dimensional modelling

Analytical thinking

Collaboration

Tools

Snowflake

dbt

Microsoft Azure

Git

Job description

Data Engineer - Design, build and scale the foundations of data and AI

Location: Copenhagen (please note this job requires onsite presence - remote work not possible)

Do you want to work hands-on with modern cloud-based technologies, data engineering and AI, while helping turn complex data into solutions that create real business value?

Join us as a Data Engineer to become part of an environment where knowledge is shared, and curiosity is encouraged. And work with tools such as Snowflake, dbt, Claude, Microsoft Azure, SQL and AI as you help develop the data platform that enables actionable insights, intelligent solutions and data-driven applications.

“You’ll get to contribute to solutions for a wide portfolio of customers - without compromising on flexibility and work-life balance. This also allows you to develop your expertise through challenging assignments and collaboration with experienced colleagues,” says Brian Landbo, Manager, SmartX.

Join an environment built around knowledge, collaboration and growth

At NTT DATA Business Solutions, we believe that development happens when people learn and solve challenges together. You will become part of our ambitious and agile SmartX team where the pace is high and where we work with modern cloud technologies, data engineering, analytics and AI through our data platform.

Develop our cloud-based data platform

As a Data Engineer, you will work closely with analysts, developers and business stakeholders, play a central role in developing our cloud-based data platform, and help transform complex data requirements into robust solutions that deliver real value. You will work across data engineering and AI, while contributing to the foundations that make intelligent and data-driven solutions possible.

More specifically, you will:

• Develop and maintain data models
• Develop, optimize and quality-assure data pipelines in Snowflake
• Implement transformations, tests and documentation using dbt
• Ensure high data quality through automated testing and validation processes
• Work with Medallion Architecture and modern data warehouse principles
• Support the development of AI-based solutions and data-driven applications

Experience with the main technologies

You do not need to tick every box. We believe some of the best colleagues grow through curiosity, commitment and a genuine desire to learn. We are looking for a new colleague who enjoys solving complex problems and who is motivated by both technology and the value it can create. You thrive in a collaborative environment where professional dialogue and knowledge sharing are an important part of everyday work. And you enjoy continuously learning and exploring new technologies within data, AI and cloud platforms.

Finally, we imagine that you:

• Have hands-on experience with and a solid understanding of Snowflake as a cloud data warehouse
• Have strong SQL and data modelling skills, including experience with dimensional modelling such as facts, dimensions and star schemas
• Have experience using dbt for data transformation and ETL/ELT processes
• Have worked with data validation, automated testing and documentation
• Have experience with Git and agile development processes

Ready to build what comes next?