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 deg 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.