Data Engineer AI — Build Scalable Data Pipelines & AI

Evidi Denmark; Drammen; Hybrid; NOK 900,000 - 1,300,000; Full time

Benefits offered by this job

Flexible work arrangements

Home office option

Adaptable working hours

Company ownership opportunities

Good pension and insurance schemes

Job summary

Evidi is seeking a Data Engineer to design and maintain data pipelines and architectures that support analytics, AI workloads, and digital transformation. You will collaborate with stakeholders, data scientists, and developers to deliver scalable data solutions aligned with client needs.

The role emphasizes modern data platforms, cloud expertise (Azure preferred), and a proactive, collaborative team mindset. Flexible work arrangements including home office are available.

Qualifications

• Hands-on experience with data engineering technologies and modern data platforms.
• Experience deploying ML/AI solutions in production environments.
• Strong understanding of cloud data solutions, preferably Microsoft Azure.
• Ability to translate business requirements into technical data solutions.

Responsibilities

• Design, implement, and maintain robust data pipelines and architectures for analytics, machine learning and AI workloads.
• Work closely with business stakeholders, data scientists, and developers to transform requirements into scalable data solutions.
• Contribute to delivery of projects, owning data and AI aspects in client implementations.
• Evaluate and integrate new tools and technologies, optimizing for performance, scalability, and security.

Skills

Data engineering concepts

Machine learning/AI awareness

Cloud literacy

Education

Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering or related field

Tools

Microsoft Fabric

Databricks

Azure Data Factory

Snowflake

SQL

Python

Spark

Power BI

Job description

Evidi is seeking a Data Engineer to design and maintain data pipelines and architectures that support analytics, AI workloads, and digital transformation. You will collaborate with stakeholders, data scientists, and developers to deliver scalable data solutions aligned with client needs.

The role emphasizes modern data platforms, cloud expertise (Azure preferred), and a proactive, collaborative team mindset. Flexible work arrangements including home office are available.