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Augsburg-based AI startup is seeking a Geospatial Engineer to develop and maintain geospatial data products. The role involves designing ETL pipelines and ensuring data quality while collaborating with engineers and data scientists. Ideal candidates are responsible, eager to learn, and have strong Python skills.
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Augsburg, Germany
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Yes
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f5f89a35f553
1
16.05.2025
30.06.2025
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credium is seeking a Geospatial Engineer to join our startup team. You will play a key role in the development of our geospatial data products by designing, developing, and maintaining our ETL pipelines, ensuring data quality throughout the data life cycle. You will work closely with other data engineers, software engineers, and data scientists to ensure data accuracy and completeness, and to meet customer needs.
This role is perfect for someone who thrives on responsibility, enjoys tackling both big-picture architecture and detailed data challenges, and values continuous learning and self-development.
Responsibilities:
Qualifications:
(Bonus) You have professional experience with Cloud Data Infrastructure, ideally Azure.
(Bonus) You are experienced in transforming data in PySpark for handling large datasets and transforming geospatial data using Sedona.
(Bonus) Experience working in a startup environment.
We offer a competitive salary as well as the opportunity to be part of a fast-paced and exciting startup environment. If you are passionate about data engineering and want to make a real impact, we want to hear from you!
Please apply with your CV and cover letter.
Enjoy the spirit of working in an inspiring start-up atmosphere. You can count on the following points:
credium is an AI-powered company specializing in building data insights by refining open data such as aerial imagery and LiDAR data using AI technologies. This enables credium to generate up-to-date, reliable, and nationwide building information as an on-demand service. In other words, credium transforms raw data into useful insights leveraging artificial intelligence and machine learning techniques, providing users with accurate and timely information about buildings and other structures.