Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine.
Artificial Intelligence • Natural Language Understanding • Knowledge graphs • Pharma • Life Sciences
June 11
🔄 Hybrid – London
Causaly accelerates how humans acquire knowledge and develop insights in Biomedicine.
Artificial Intelligence • Natural Language Understanding • Knowledge graphs • Pharma • Life Sciences
• Gather and understand data based on business requirements • Import big data (millions of records) from various formats (e.g. CSV, XML, SQL, JSON) to BigQuery. Process further on BigQuery and combine with external data sources • Implement and maintain highly performant data pipelines with the industry’s best practices and technologies for scalability, fault tolerance and reliability • Build the necessary tools for monitoring, auditing, exporting and gleaning insights from our data pipelines • Work directly with a multitude of technical, product and business stakeholders • Manage and maintain backend data processes related to data delivery, curation and machine learning operations • Help to build a strong data-engineering function, mentor and guide other engineers, shape our technology strategy and innovate on our data backbone
• Master’s degree in Computer Science, Mathematics or a related technical field • 5+ years experience in backend data processing and data pipelines • Excellent knowledge of Python and related libraries for working with data (e.g. pandas, Airflow) • Excellent SQL and database skills • Solid understanding of modern software development practices (testing, version control, documentation, version control, etc…) • A product and user-centric mindset • Excellent problem solving, ownership, organizational skills, high attention to detail and quality
• Competitive compensation package • Private medical insurance (underwritten on a medical health disregarded basis) • Life insurance (4 x salary) • Individual training/development budget through Learnerbly • Individual wellbeing budget through Juno • 25 days holiday plus public holidays and 1 day birthday leave per year • Hybrid working (home + office) • Potential to have real impact and accelerated career growth as an early member of a multinational team that's building a transformative knowledge product
Apply Now