Python Developer (Data Engineering, AI)

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 this role is to design and build AI- and data-driven solutions using Python, while contributing to the development of scalable data platforms and pipelines in hybrid/on-prem environments for Nordic clients.

Main Responsibilities:

• Develop high-quality Python code for AI- and data-driven applications.

• Design, build, and maintain scalable data pipelines (Kubernetes-based).

• Work with distributed data processing frameworks (e.g., Spark / PySpark).

• Contribute to the design and implementation of data architectures in hybrid/on-prem environments.

• Support the development of AI-driven data products.

• Collaborate closely with a small, senior engineering team.

• Deliver end-to-end solutions across multiple environments.

Key Requirements:

• Strong hands-on experience in Python (Senior or strong Mid level).

• Experience working with AI / Data-related tools or libraries.

• Interest in developing further in AI / Data Engineering.

• Familiarity with distributed data processing (e.g., Spark or willingness to develop in PySpark).

• Experience or exposure to Kubernetes-based environments.

• Ability to work across the full development lifecycle.

Nice to Have:

• Experience with on-prem or hybrid data platforms.

• Familiarity with tools such as Cloudera, MinIO.

• Experience with Airbyte or dbt.

• Knowledge of ETL/ELT processes and modern data stack tools.

Other Details:

• Team Structure: Small, remote-first team with a flexible culture.

• Work Environment: High level of autonomy and ownership.

• Growth Opportunity: Strong exposure to Data Engineering and AI projects, with support in developing PySpark and data platform expertise.