Data Engineer: Scalable AI Data Pipelines (Oslo/Stavanger)

StaffHost digital; Oslo; On-site; NOK 900,000 - 1,300,000; Full time

Benefits offered by this job

Fantastic salary packages

Long-term career progression

Exposure to cutting-edge AI/ML

Job summary

StaffHost digital seeks a Data Engineer to design and build robust data platforms in Norway, enabling analytics, AI and ML workloads. You will collaborate with data scientists, architects and stakeholders to ensure data reliability and production readiness.

Key responsibilities include building modern data pipelines, working on large-scale data systems, and applying best practices for data quality, security and performance. Norwegian proficiency at C1 is mandatory.

Qualifications

• 3+ years' experience in data engineering or related field.
• Experience with large-scale data platforms and AI-driven solutions.
• Strong Python development skills and data modeling experience.
• Hands-on experience with Databricks and cloud-native data architectures.
• Proficiency with Apache Kafka and distributed data systems.
• Kubernetes skills and MLOps/data platform support for ML workloads.
• Cloud-based data platform experience and data quality/security/performance practices.
• C1-level Norwegian (spoken and written) is mandatory.

Responsibilities

• Design and build modern data pipelines and architectures.
• Work with large-scale, distributed data systems to enable analytics and ML workloads.
• Enable ML/AI workloads through robust data foundations and pipelines.
• Implement best practices around data quality, security and performance.
• Support platforms used for MLOps, LLM and AI-driven solutions.
• Contribute to projects across public and private sector organisations.

Skills

Databricks

Microsoft Fabric

Python

Kafka

Kubernetes

MLOps

Data pipelines

Cloud data platform

Norwegian (C1)

Tools

Databricks

Microsoft Fabric

Job description

StaffHost digital seeks a Data Engineer to design and build robust data platforms in Norway, enabling analytics, AI and ML workloads. You will collaborate with data scientists, architects and stakeholders to ensure data reliability and production readiness.

Key responsibilities include building modern data pipelines, working on large-scale data systems, and applying best practices for data quality, security and performance. Norwegian proficiency at C1 is mandatory.