Data Engineer AI — Remote/Hybrid, Growth & Equity

Evidi Denmark; Sem; A distancia; NOK 900.000 - 1.200.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Home office option

Flexible working hours

Pension and insurance schemes

Employee ownership opportunities

Descripción de la vacante

Evidi is seeking a Data Engineer to design, deploy, and optimize data pipelines and architectures that support analytics, ML, and AI workloads. You will collaborate with stakeholders, data scientists, and developers to turn requirements into scalable solutions and contribute to client implementations.

The role emphasizes working with modern data platforms in a flexible, collaborative environment with opportunities for professional growth and home office arrangements.

Formación

• Bachelor’s or master’s degree in Computer Science, Data Science, Engineering or related field.
• Hands-on experience with data engineering technologies (e.g. Fabric, Databricks, ADF, Snowflake, SQL, Python, Spark, Power BI).
• Experience deploying, maintaining, or utilizing ML/AI solutions in production.
• Strong understanding of cloud data solutions and modern data platforms (Azure or comparable).
• Ability to translate business processes into technical data solutions.

Responsabilidades

• Design, implement, and maintain robust data pipelines and architectures for analytics, ML and AI workloads.
• Collaborate with business stakeholders, data scientists, and developers to translate requirements into scalable data solutions.
• Contribute to project delivery, owning data and AI aspects in client implementations.

Conocimientos

Data engineering

Cloud data platforms

Stakeholder collaboration

Curious about AI

Educación

Bachelor's or Master's in CS/Engineering/Data Science

Herramientas

Microsoft Fabric

Databricks

Azure Data Factory

Snowflake

SQL

Python

Spark

Power BI

Descripción del empleo

Evidi is seeking a Data Engineer to design, deploy, and optimize data pipelines and architectures that support analytics, ML, and AI workloads. You will collaborate with stakeholders, data scientists, and developers to turn requirements into scalable solutions and contribute to client implementations.

The role emphasizes working with modern data platforms in a flexible, collaborative environment with opportunities for professional growth and home office arrangements.