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Hands-on Data / Cloud Engineer

Roles & Responsibilities

  • Hands-on experience with at least one software language, preferably Python
  • Experience with data engineering, including pipelines and general ETL
  • Cloud engineering experience with Azure and/or AWS
  • Strong knowledge of Infrastructure as Code, preferably Terraform and/or Pulumi

Requirements:

  • Build and maintain data pipelines and ETL flows
  • Work with cloud-based environments and services
  • Develop and maintain infrastructure as code
  • Support the team with hands-on implementation and problem solving

Job description

We are looking for 2–3 hands-on Data / Cloud Engineers to support a project team with practical implementation work. The focus is on building, improving, and maintaining data pipelines, cloud-based solutions, and infrastructure as code.

This is a role for consultants who enjoy getting things done, working close to the technical delivery, and collaborating with others in a friendly and practical way.

Responsibilities

  • Build and maintain data pipelines and ETL flows.

  • Work with cloud-based environments and services.

  • Develop and maintain infrastructure as code.

  • Support the team with hands-on implementation and problem solving.

  • Help ensure that solutions are reliable, structured, and easy to maintain.

  • Collaborate closely with other team members and stakeholders.

  • Contribute to validation, verification, and quality-related activities when needed.

Requirements

  • Hands-on experience with at least one software language, preferably Python.

  • Experience with data engineering, including pipelines and general ETL.

  • Cloud engineering experience with Azure and/or AWS.

  • Strong knowledge of Infrastructure as Code, preferably Terraform and/or Pulumi.

  • Ability to work independently and take ownership of practical delivery tasks.

  • A proactive and solution-oriented mindset.

  • Friendly, collaborative, and easy to work with.

Nice-to-Have

  • Experience from GxP environments.

  • Experience with validation and verification.

  • Experience working in regulated or quality-driven environments.

  • Experience with both Azure and AWS.

Other Information

  • Work setup: Fully remote is possible.

  • EU time zones.

  • Workload: Full-time preferred.

  • Start: August 2026.

  • Duration: Until December 2026, with possibility of extension.

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