Data Analyst & Automotive Software Engineer

About the role

We are seeking a motivated professional who can blend data analysis with automotive software engineering. The role operates in a fast‑paced Agile environment, collaborating with international, cross‑functional teams to deliver data‑driven solutions for the automotive sector.

Key responsibilities

• Develop and maintain software components using Python and JavaScript/TypeScript (React) within Docker and Kubernetes ecosystems.
• Analyse large datasets, extract actionable insights and support decision‑making processes.
• Participate in Scrum/Kanban ceremonies and contribute to continuous improvement of development practices.
• Work closely with engineering, product and stakeholder teams across different locations.

Required profile

• Minimum 2 years of experience in data analysis or software engineering.
• Strong programming skills in Python and solid knowledge of JavaScript/TypeScript, preferably with React.
• Hands‑on experience with containerisation tools such as Docker and orchestration platforms like Kubernetes.
• Familiarity with Agile methodologies (Scrum or Kanban) and ability to work in a collaborative, English‑speaking environment.

Required skills

• Python
• JavaScript
• TypeScript
• React
• Docker
• Kubernetes