Data Engineer (On-Prem)

Summary: The core purpose of the on-prem Data Engineer role is to design, manage, and optimize scalable data pipelines while supporting the technical decision-making process in building AI-driven services for Nordic clients.

Main Responsibilities:

• Build, maintain, and optimize scalable data pipelines (Kubernetes-based).
• Work with distributed data processing tools (e.g., Spark).
• Design and implement robust data architectures in hybrid/on-prem environments.
• Work with storage technologies including Cloudera and MinIO.
• Deliver end-to-end code across multiple environments.
• Collaborate closely with a small, senior engineering team.
• Participate in building AI-driven data products for Nordic clients.
  
  

Key Requirements:

• Strong hands-on experience with on-prem data platforms.
• Proficiency in designing and operating Kubernetes.
• Experience managing distributed data processing frameworks (e.g., Spark).
• Familiarity with Cloudera for storage and data services.
• Ability to deliver end-to-end code in hybrid environments.
  
  

Nice to Have:

• Hands-on experience with Airbyte.
• Experience with dbt for development & data transformations.
• Familiarity with ETL/ELT orchestration and modern data tooling.
  
  

Other Details:

• Team Structure: Small, remote-first team with a flexible culture.
• Work Environment: Offers autonomy and responsibility.