Data Engineer and Spatial Analyst

Vor 5 Tagen


Frankfurt am Main, Hessen, Deutschland Zoologische Gesellschaft Frankfurt von 1858 e.V. Vollzeit

Frankfurt Zoological Society (FZS) is seeking a skilled and passionate


Data Engineer and Spatial Analyst (gn)

to join our Monitoring, Evaluation & Learning (MEL) team. This role is crucial in managing, processing, and analyzing large datasets related to our global conservation efforts, supporting spatial data acquisition and remote sensing analysis. You will be responsible for designing and implementing robust data infrastructure, ensuring data quality, and facilitating the use of field-level data to inform FZS global data systems and decision-making processes


About us

Frankfurt Zoological Society (FZS) is an internationally operating conservation organisation based in Germany that has been supporting conservation projects in Africa, South America, South East Asia and Europe for many decades. Following our mission to conserve wildlife and ecosystems we are focusing on protected areas and outstanding wild places



Aufgaben

Your tasks

  • Design, develop, and maintain scalable data infrastructure for diverse conservation data sources
  • Conduct spatial analysis of complex datasets, including remotely sensed data
  • Develop and implement data analysis pipelines
  • Create data storage solutions for structured and unstructured data, ensuring data quality and drafting SOPs
  • Operationalize existing datasets for queries and retroactive analyses
  • Ensure compliance with data protection regulations and ethical standards
  • Develop ETL processes to integrate data from various sources
  • Provide technical support for GIS and remote sensing data collection tools
  • Stay updated on emerging technologies and best practices in data engineering and remote sensing
  • Provide training and documentation for end-users interacting with the data platform


Anforderungen

Your profile

  • Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field
  • Proven experience (5+ years) in data engineering, preferably in conservation or environmental sciences, with a focus on GIS and remote sensing
  • Proficiency in database management systems (SQL and NoSQL), ETL processes, and data integration
  • Experience with big data technologies and cloud platforms
  • Strong programming skills (e.g., Python, Java) for data manipulation and transformation, with knowledge of GIS tools such as ArcGIS or QGIS
  • Knowledge of wildlife conservation issues and a commitment to environmental sustainability
  • Ability and willingness to travel to remote field sites as needed


Benefits

We offer

  • Engaging and meaningful work that encourages independent and entrepreneurial thinking
  • Opportunity to contribute towards the protection of impressive wilderness areas
  • A dynamic and motivated team environment, working to secure outstanding wild places
  • Opportunities for further training and the option for remote work within limits
  • A fair and competitive salary commensurate with qualifications and experience

The contract will be for 2-years initially with a long-term perspective

Bewerbungsprozess

Your application

Join us in our mission to protect the planet's most precious ecosystems. Apply now via our online application form or sending an e-mail via the "Direkt bewerben" button to to be part of a dynamic team dedicated to global conservation. Your application should contain a cover letter, your CV as well as qualifying certificates


Your point of contact:



Lysann Tscheschner





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