- Heidelberg, Pune (Indien)
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This position can be filled at the following locations: Heidelberg or Dordrecht
Who we are:
You will join a new team working at the vibrant pulse of Springer Nature’s publishing workflows processing millions of articles. We combine data from a variety of systems to mine process flows and facilitate granular end-to-end analysis. We are an enabler for continuous improvement and transformation monitoring.
We take our work seriously but not ourselves, placing more importance on collaboration and relationship building than on solo heroics. Our mission is to perform together to lay the foundation for analyzing today’s processes to make tomorrow’s publishing more efficient.
Who you are:
You are as much into working with data, processes and software solutions as you are into working with people. You would describe yourself as a get-it-done and out-of-the-box person who appreciates the cultural diversity of a global company. You have already gained professional experience in international projects, you value self-dependency and reliability as much as we do, and you would be ready to get trained on the job.
Analyze, normalize and transform data from various in-house systems
Implement data pipelines and data models for process mining
Monitor the data pipelines, ensure their reliability and help troubleshoot any issues
Maintain and expand existing reporting systems, both proprietary and third-party
Develop best practices and blueprints that can be used across projects
University degree in the area of computer science, engineering or a comparable education
Solution-oriented problem-solver, proficient and experienced with SQL and Python
Experience with different DB systems (e.g. MS SQL server, Postgres, Vertica)
Experience with data pipelines and ETL processes, ideally for larger volumes of data
Strong analytical, organizational and problem-solving skills
Ability to adapt and drive change
Excellent command (business fluency) of English and German
What we would appreciate:
Project management skills
Experience with Google Cloud Platform technologies like Big Query, Cloud Composer or Data Flow
Experience with data and process analysis tools like the Celonis Execution Management System
Knowledge of scientific publishing processes
Please apply using our online application system. We are looking forward to your online application stating your first possible date of joining and your salary expectations.
Your contact person for the location Heidelberg is Ms Birgit Kolb, HR Director Heidelberg.
Visit the Springer Nature Editorial and Publishing website at www.springernature.com/editorial-and-publishing-jobs for more information about our Research E&P career opportunities.