Data Analytics Engineer at Sunfire analyzing electrolyzer time series data and supporting operational improvements. Collaborating with teams on monitoring, visualization, and reporting.
Responsibilities
Analyze time-series data from the operation of electrolyzer plants
Detect anomalies and aggregate operational metrics and KPIs
Provide datasets, visualizations, and analysis tools
Support MaMa monitoring, alerting and reporting of plant data
Requirements
Degree in engineering, natural sciences or a related field
Solid, practical foundational knowledge in process or energy engineering
Strong programming skills in Python
Knowledge of data analysis and statistics
Ideally experience with PySpark and/or SQL as well as Git and Jira
Analytical thinking for troubleshooting and solution optimization
Fluent German and good written and spoken English
Benefits
Varied and challenging work on a future technology
Professional development through the Sunfire Academy with a range of training courses
Regular feedback and development meetings
Support during the onboarding phase
Running group and free weekly yoga class
30 days of vacation
Subsidy for DVB monthly pass, Deutschlandticket and/or JobRad leasing
Employer contribution to the company pension plan of up to 20%
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