Geospatial Data Engineer (f / m / d) - Full-time - Remote

Your new job.

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.

Your skills.

Responsibilities :

You design, implement and maintain robust, scalable and efficient data ingestion and transformation pipelines, processing large scale open geospatial data

You ensure data integrity, accuracy, and security across various platforms and systems

You create data model, data mapping, and data lineage documentation

You create geodata insights and reports

You transform raw geodata into features that enhance our products, not shying away from complex algorithms and calculations

You collaborate with internal and external stakeholders to understand their data requirements and ensure data meets their needs

Qualifications :

Don’t worry if you don’t fulfill all criteria. Everyone’s got a focus.

You hold a degree in Computer Science, Geoinformatics, or related field or comparable working experience

You have proven professional experience with large-scale geospatial data.

You have strong Python skills (pandas, numpy, geopandas, gdal, shapely, rasterio, and other relevant libraries).

You are familiar with GIS tools (such as QGIS, ArcGIS etc.)   for advanced mapping and spatial analysis.

You have solid RDBMS skills and experience with database management. (PostgreSQL / Oracle / MSSQL) and geospatial extensions (e.g. PostGIS)

You have strong sense of responsibility, with the ability to tackle both high-level design and nitty-gritty data issues.

You proved your ability to document and explain complex technical concepts.

You have strong communication skills to effectively collaborate with cross-functional teams and external stakeholders

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 a 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.

Benefits of working with credium.

Enjoy the spirit of working in an inspiring start-up atmosphere. You can count on the following points :

You will be working with people who all want to grow and excel

Your international colleagues will truly support you because we mutually rely on one another

You gain unique experience of working in a venture-capital-backed AI company

You will get a competitive salary and flexible working settings (working hours, home office, all-remote possible etc.)

Newly renovated office in the heart of Augsburg with an indoor garden, coffee-flat and ergonomically designed workplaces (e.g. height-adjustable desks)

About us

credium is an AI-powered company that specializes 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 is able to transform raw data into useful insights by leveraging artificial intelligence and machine learning techniques, providing users with accurate and up-to-date information about buildings and other structures in a timely manner.