Senior Data Platform Engineer

Founded in 2018, Causaly accelerates biomedical knowledge acquisition through generative AI, serving major biopharma companies for drug discovery and research.
Data
Senior Software Engineer
Hybrid
5+ years of experience
AI · Healthcare · Biotech

Description For Senior Data Platform Engineer

Founded in 2018, Causaly is revolutionizing biomedical research through their production-grade generative AI platform. The company enables scientists to discover evidence from millions of academic publications, clinical trials, and other data sources in minutes. As a Senior Data Platform Engineer, you'll join the Data & Semantic Technologies team, working on scalable data pipelines and knowledge graphs that power their AI platform. The role involves building and maintaining data infrastructure that supports batch and targeted updates, managing massive knowledge graphs, and maintaining data warehouses. You'll work in a fast-paced, collaborative environment with a multi-disciplinary team, directly impacting how scientific knowledge is discovered and processed. The company is backed by top VCs including ICONIQ, Index Ventures, Pentech and Marathon, and serves major biopharma companies in drug discovery, safety, and competitive intelligence. They offer a competitive package, hybrid working model, and strong emphasis on professional development. The role requires expertise in Python, SQL, and data pipeline development, with opportunities to work with cutting-edge technologies in AI and big data.

Last updated 26 minutes ago

Responsibilities For Senior Data Platform Engineer

  • Gather and understand data based on business requirements
  • Import big data from various formats to BigQuery and process with external data sources
  • Implement and maintain highly performant data pipelines
  • Build tools for monitoring, auditing, and analyzing data pipelines
  • Work with technical, product and business stakeholders
  • Manage backend data processes related to data delivery, curation and ML operations
  • Help build data-engineering function and mentor other engineers

Requirements For Senior Data Platform Engineer

Python
Kubernetes
  • Master's degree in Computer Science, Mathematics or related technical field
  • 5+ years experience in backend data processing and data pipelines
  • Excellent knowledge of Python and related libraries for working with data
  • Excellent SQL and database skills
  • Solid understanding of modern software development practices
  • Product and user-centric mindset
  • Excellent problem solving and organizational skills

Benefits For Senior Data Platform Engineer

Education Budget
  • Competitive Salary
  • Hybrid working (home + office)
  • Annual training budget for professional development
  • Enhanced sick-leave package
  • Opportunity for growth and responsibility
  • Be part of a multinational, diverse team

Interested in this job?

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