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Senior Data Scientist (f/m/d) Meteorology and Hydrology

KISTERS Group

Aachen

Hybrid

EUR 50.000 - 75.000

Vollzeit

Vor 10 Tagen

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Zusammenfassung

A global leader in environmental data solutions, KISTERS Group is looking for a Software Developer to enhance their backend capabilities in Python for meteorological and hydrological data management. This role involves collaboration with data scientists, innovative product development, and offers various benefits such as remote working and flexible hours, aimed at contributing positively to sustainability efforts.

Leistungen

Family-friendly working time models
Remote working opportunities
Regular in-house training opportunities
Performance-related pay
Subsidized Lunch
Company pension scheme
Job bike (company bike leasing)

Qualifikationen

  • Proven professional experience in scientific data processing.
  • Capable of translating complex requirements into technical solutions.
  • Team-oriented and proactive.

Aufgaben

  • Design, implement and optimise backend algorithms and services in Python.
  • Integrate large-scale data management systems.
  • Automate operational tasks through CI/CD pipelines.

Kenntnisse

Programming in Python
Data management systems
ETL pipelines
Software engineering best practices
Analytical skills
Excellent communication skills

Ausbildung

Degree in Computer Science, Natural Sciences, Environmental Sciences, or related field

Jobbeschreibung

Job-ID: HMT-DSM-A | Hydromet | Software Development | Deutschland | Aachen

KISTERS is a global leader in environmental data, energy and IT solutions. With a reputation for innovation and reliability, we provide organisations around the world with advanced technology to monitor and manage environmental challenges.

Within the KISTERS Group, our HydroMet division provides world-class software and sensor solutions for environmental monitoring and data analysis, giving decision-makers the insight they need to manage floods, droughts and water quality.

Become part of our KISTERS Group and support us in making a positive contribution to a more sustainable world.

How You Can Contribute

  • Translate business requirements into innovative environmental data solutions that enhance our product offerings
  • Design, implement and optimise backend algorithms and services in Python in close collaboration with frontend developers and fellow data scientists
  • Define, implement and maintain data products in the field of meteorology and hydrology based on a detailed analysis of customer requirements
  • Integrate large-scale, high performance data management systems and design efficient ETL processes for seamless data processing
  • Automate operational tasks and streamline development processes through CI/CD pipelines and related tools

Your Profile

  • A degree in Computer Science, Natural Sciences, Environmental Sciences, or a related field (MSc/PhD)
  • Proven professional experience in scientific data processing, preferably within the environmental sciences
  • Strong programming skills in Python and experience in software engineering best practices
  • Familiarity with data management systems, ETL pipelines and modern data architecture
  • Ability to analyse complex requirements and translate them into scalable, maintainable technical solutions
  • Team-oriented, proactive, and capable of working independently
  • Excellent communication skills in English, German is a plus

Your Benefits

  • Family-friendly working time models
  • Remote working opportunities
  • Regular in-house training opportunities
  • Performance-related pay for all employees is part of the KISTERS career model
  • Subsidized Lunch
  • Company parties and events
  • Company pension scheme
  • Job bike (company bike leasing)
  • Further benefits and offers to make your work and private lives more enjoyable can be found [here].

Ready to help us shape the future?

Apply via our application portal today!

We look forward to receiving your complete application (Cover Letter, CV, References and Certificates ) and finding out more about your motivation!
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