Hybrid Data Analytics Engineer

Posted last month

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About the role

  • 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%

Job title

Data Analytics Engineer

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Tech skills

Location requirements

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