Essential
- Senior-level engineering or analytical background
- Strong data analytics and investigation skills
- Ability to analyze complex industrial systems and derive actionable insights
- Hands-on Python experience
- Experience working with large, real-world datasets
- Strong problem-solving and communication skills
- Ability to work in a multidisciplinary R&D environment
Preferred
- DevOps experience (CI/CD, cloud operations, monitoring)
- Data engineering and data pipeline development
- Industrial automation or sensor systems knowledge
- Manufacturing or process-industry experience
- Machine learning and statistical modelling experience
- Customer-facing project experience
Ideal Candidate Profile A technically hands-on engineer who enjoys investigating complex industrial processes, working with data, and turning insights into scalable digital solutions. The candidate should be comfortable operating across analytics, software, and cloud environments while collaborating closely with researchers, software engineers, data scientists, and domain experts.
Expected Impact
- Increase the team's analytical capabilities
- Strengthen data-driven product development
- Support research and experimentation activities
- Improve operational excellence and DevOps maturity
- Bring additional industrial and systems-thinking expertise into the team