Data Engineer (On-Prem, Kubernetes)

🌍Remote work: fully remote.

📑Assignment type: B2B.

📕Project language: English.

⏳Project length: > 12 months + prolongations.

⏰Start: ASAP / 1 month.

💻Workload: full time.

⚙️Recruitment process: 2 interviews with the client.

💼 Industry: IT Services / Digital Consulting

🔍Additional information: After receiving the offer, a background check is carried out (references, criminal record check, etc.)

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.