Senior Backend Engineer – Data Platform

🕒 March 31

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osapiens

WebsiteLinkedInAll Job Openings

201 - 500 employees

Founded 2018

📋 Compliance

🏢 Enterprise

☁️ SaaS

💰 Series A on 2023-04

Compliance • Enterprise • SaaS

osapiens is a company that offers an ESG solutions platform to help enterprises master ESG compliance, reduce risk, and increase efficiency through AI-driven solutions. The company provides a range of services to ensure compliance with various ESG regulations, such as the EU Deforestation Regulation (EUDR), Corporate Sustainability Reporting Directive (CSRD), and others. With a clientele of over 1,500 enterprises, osapiens offers tools for distribution, brand protection, and supply chain management among other features, ensuring transparency and efficiency across the value chain.

📋 Description

• Build the data systems behind global-scale analysis • Design and implement scalable backend services using TypeScript • Build systems for ingesting, storing, and serving large geospatial datasets • Develop data pipelines and APIs that deliver machine learning results and geospatial data to the platform • Work with high-throughput NoSQL databases such as Cassandra or Scylla • Design data architectures capable of handling petabyte-scale satellite datasets • Optimize backend systems for large-scale spatial queries and time-series data • Collaborate closely with ML engineers, frontend developers, and geospatial analysts • Own backend features end-to-end, from system design to production deployment • Contribute to architectural decisions as we scale our platform and data infrastructure • Key challenges include: • - Processing millions of geodata points • - Building high-performance enterprise software solutions • - Designing scalable architectures for time-series environmental data • - Integrating machine processes into production systems • - Optimizing storage and retrieval for large spatial datasets • This role is ideal for engineers who enjoy building data-heavy systems, working with distributed databases, and solving problems around scale, performance, and data architecture.

🎯 Requirements

• Strong backend development experience using TypeScript • Experience building data-intensive backend services • Experience working with distributed or NoSQL databases such as Apache Cassandra or Scylla • Solid understanding of scalable system design and data architecture • Experience designing APIs and backend services for large-scale applications • A strong product mindset and the ability to think beyond implementation • Experience working in agile teams • Language requirements: • - English (C1 and above) • - German (B1 and above) • Nice to have: • Experience with Java-based backend systems • Experience working with geospatial or environmental data • Experience with data pipelines or machine learning systems • Experience operating systems that handle large-scale datasets • Prior experience with remote sensing or satellite data is not required — you will work closely with our ML and geospatial teams and learn these domains on the job.

🏖️ Benefits

• Work on technology that helps companies protect forests and ecosystems • Build systems combining AI, satellite data, and geospatial intelligence • Solve engineering challenges involving massive datasets and distributed data infrastructure • Collaborate with a multidisciplinary team of engineers, ML specialists, and geospatial analysts • Join a fast-moving team with strong ownership and short decision paths • Work from our Munich office near Sendlinger Tor with around 40 colleagues • Regular demo lunches and knowledge-sharing sessions • Hybrid work setup with strong in-person collaboration