--- title: "Data Engineer β€” Careers" description: "Data Engineer at Amass in Copenhagen: build the ingestion pipelines, data architecture and ML stack behind scientific intelligence for biotech and pharma R&D." url: https://amass.tech/careers/data-engineer --- # Data Engineer β€” Careers [←All roles](https://amass.tech/careers) Copenhagen # Data Engineer Build the data architecture and ML stack behind Amass, a **scientific intelligence platform** for life science R&D. Our customers are R&D teams in biotech, pharma and research institutions. With Amass they **triangulate evidence across datasets**, from patents and trials to internal reports and ELNs, and trace each decision back to its sources. The team is small. You'll work directly with the founders (CTO and CEO) on the data architecture, ML stack and applied intelligence layer at the center of **how Amass works**. Amass is backed by KOST Capital, Giant Ventures and EIFO. ## What we're building Scientific knowledge is scattered across patents, papers, regulatory filings and proprietary documents. Amass integrates them into a structured, cross-linked layer you can query. We **build our own domain-specific data pipelines and machine learning models** to capture subtle scientific signals. Users **triangulate across multiple sources**, trace the evidence behind any output and _reason_ with the documents. ## Your role We're hiring for ownership and initiative. You'll own core data systems and help decide how they're built. ### Your core tasks at Amass - Build fault-tolerant and reliable ingestion pipelines across diverse formats (APIs, PDFs, SharePoint, Excel, internal tools) - Design a scalable data foundation for low-latency scientific querying and reasoning - Maintain and optimize (vector) databases, embedding stores, and provenance tracking - Develop and maintain pipelines that serve (un)structured data, embeddings and metadata to downstream LLM workflows ### What you bring - _Have_ built a modern data foundation in a fast-moving team - Know how to ship data products that hold up in production while you iterate quickly - Like the mess of real-world data (scientific jargon, edge cases, legacy formats) - **Bonus:** You have experience working with data in life science, pharma, or another regulated industry - **Bonus:** You have experience building keyword, semantic or hybrid search systems Compensation is salary plus equity. ### How we work We are a flat organization and a small team. We value face-to-face time at our HQ in central Copenhagen. We work with high trust, solve problems together, try odd ideas and ship code without ego or status getting in the way. ### How to apply If we see a match, we'll reach out to schedule about two technical interviews. The last step is an onsite in our Copenhagen office where we'll work on a project together, discuss ideas, and meet the team. Apply ## Sound like you? Tell us about your background and what you'd bring to the data stack at Amass. [Apply for this role β†’](https://tally.so/r/m6zEjA)