Process Engineer, Data Analysis, Electrolyzer Systems
Sunfire
full-time
Posted on:
Location Type: Hybrid
Location: Dresden • 🇩🇪 Germany
Visit company websiteJob Level
Mid-LevelSenior
Tech Stack
PySparkPythonSQL
About the role
- Analyze time-series data from the operation of our electrolyzer systems
- Detect anomalies and aggregate operational key performance indicators
- Contribute to the further development of Sunfire electrolyzer systems
- Provide datasets, visualizations and analysis tools
- Support specialist teams in the collection, monitoring and reporting of plant data
Requirements
- Completed degree in engineering, natural sciences or a related field
- Solid and applicable foundational knowledge in process or energy engineering
- Strong programming skills in Python
- Experience in data analysis and statistics
- Ideally experience with PySpark and/or SQL as well as git and Jira
- Analytical thinking for troubleshooting and solution optimization
- Team player with good communication skills and flexibility
- Careful and responsible way of working
- Fluent German and good English, both written and spoken
Benefits
- Contribution to the energy transition
- Professional development and recognition
- Work–life balance
- Health and wellbeing measures
- 30 days of vacation
- Mobility benefits
- Retirement/financial provision
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analysisstatisticsPythonPySparkSQLgitJiraanomaly detectionkey performance indicatorsvisualization
Soft skills
analytical thinkingcommunicationteam playerflexibilitycareful workingresponsible working
Certifications
degree in engineeringdegree in natural sciences