dev-ops

LiveEO

<div><h1>Build the Market Leader in Satellite Analytics with us at LiveEO</h1><p>At LiveEO, we combine Space Technology with AI to solve problems here on Earth. <br>LiveEO is applying the latest developments in artificial intelligence to analyse satellite data and is bringing the insights of earth observation data to customers in the enterprise sector. LiveEO’s ambitious goal is to monitor 1 billion assets across the globe with its unique SaaS solution until 2030. <br></p><p><br>We are looking for highly skilled Data Engineers to join our team. LiveEO leverages satellite imagery and artificial intelligence to provide actionable insights that drive decision-making across various industries. An example is the precise detection of trees and their height in high resolution imagery to protect our customers power grids from tree fall. The focus of the role is on building robust and automated data pipelines around our geospatial processes that handle terabytes of data. Our pipelines involve a wide-range of topics such as efficient tiling strategies, merging of different data sources and challenges around various types of digital elevation models (incl. disparity matching &amp; offset-correction). <br>Usually these processes serve as pre- or post-processing steps for our Machine Learning models. We don't expect you to be an expert in all of the above but you should have the willingness to dive into and work on multiple topics.</p><br><h1>Your challenge</h1><p></p><ul><li>Design, implement, and maintain data pipelines that efficiently handle large amounts of rasterdata.</li><li>Orchestrate and automate data workflows using orchestration engines such as Prefect.</li><li>Engage in continuous improvement of the data processing frameworks by addressing challenges associated with digital elevation models, including disparity matching and offset-correction.</li></ul><br><h1>Your profile</h1><p></p><ul><li>Experience in designing, building, and maintaining data pipelines, with a strong background in handling large datasets, particularly raster data.</li><li>Experience with Python with a strong emphasis on writing clean, efficient, and maintainable code.</li><li>A proactive approach to problem-solving, with a willingness to dive into and navigate multiple topics, driving innovation to improve data quality and process efficiency.</li><li>Understanding of geospatial data applications and processing techniques is a big plus.</li></ul><br><h1>Your Benefits</h1><p></p><ul><li>The opportunity to create a product that can improve business processes and lives across the globe;</li><li>Flexible working hours and hybrid work model - we trust our employees to get their work done while maintaining a healthy work-life balance;</li><li>We empower employees to drive their own career development, take initiative and have the freedom to be creative and bold;</li><li>Not an overtime culture - we take care that overtime is done only as a necessity and always offset with time off and rest;</li><li>Variety of team building opportunities - from jogging groups, team sports, bouldering and picnics;</li><li>A collaborative and learning environment - frequent internal workshops, knowledge sharing sessions, journal clubs and hackathons;</li><li>Potential to participate in the employee stock option program;</li><li>Office located in the center of Berlin Kreuzberg with free fruit, nuts and drinks;</li><li>Urban Sports membership and BVG subsidy.</li></ul></div>

Data Engineer (f/m/x) in the field of AI & Satellite Data

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