
51 - 200 employees
Founded 2017
🤖 Artificial Intelligence
💊 Pharmaceuticals
⚕️ Healthcare Insurance
💰 Series A on 2022-08
Artificial Intelligence • Pharmaceuticals • Healthcare Insurance
PeakData is a company that leverages AI-driven technology to provide actionable insights for pharmaceutical companies. By mapping and profiling healthcare professionals, PeakData enhances market segmentation and targeting, enabling its clients to engage effectively with key opinion leaders in the healthcare sector. The company integrates vast amounts of public data to offer comprehensive understanding of healthcare professional networks, aiding in tailored communication strategies and effective impact tracking.
🕒 Yesterday
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51 - 200 employees
Founded 2017
🤖 Artificial Intelligence
💊 Pharmaceuticals
⚕️ Healthcare Insurance
💰 Series A on 2022-08
Artificial Intelligence • Pharmaceuticals • Healthcare Insurance
PeakData is a company that leverages AI-driven technology to provide actionable insights for pharmaceutical companies. By mapping and profiling healthcare professionals, PeakData enhances market segmentation and targeting, enabling its clients to engage effectively with key opinion leaders in the healthcare sector. The company integrates vast amounts of public data to offer comprehensive understanding of healthcare professional networks, aiding in tailored communication strategies and effective impact tracking.
• Build new pipeline components as we upgrade and refactor data flows • Maintain and improve existing data pipelines — including sunset work on legacy services • Integrate new data package sources after DS teams define the spec — you make it production-grade • Collaborate with data scientists on handoffs from experimentation to production • Keep the infrastructure running: monitoring, alerting, reliability • Contribute to backend services where data and platform logic intersects with the product
• 4+ years in data engineering or backend engineering • Strong Python – production-grade, not just scripts or notebooks • SQL – comfortable with complex queries, schema design, performance considerations • Docker – you've shipped containerized services, not just run them locally • Nice to have: pandas / data wrangling experience • AWS (any depth – Lambda, S3, ECS) • Terraform or CDK • Experience with orchestration tools (Argo, Airflow, Prefect, or similar) • Prior work in regulated or data-sensitive environments (life sciences, healthcare, finance)
• Work that matters – build solutions that support faster and more effective healthcare outcomes. • Hands-on AI work – practical experience with LLMs and modern AI applications used in real business scenarios. • Flexible B2B compensation. • Remote-first setup – work from anywhere in Poland. • Love good coffee and teamwork? You’re always welcome at our Wrocław office. • Long-term projects with global pharma partners – stability, clear goals and meaningful work. • Growth opportunities – develop your skills, explore new tools and deepen your expertise in healthcare and data.
Apply Now🕒 3 days ago
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