• Create new or enhance existing business critical, complex data pipelines using a variety of data processing tools and automation
• Expand our capabilities in Deep Learning and LLM-powered extraction of clinical insights from global datasets
• Devise creative solutions for technical and business challenges to help the team scale
• Contribute to shaping the direction of team roadmaps and technology development
• Help build our European engineering teams and company culture as we grow
• Rapidly iterate on products while maintaining engineering practices that ensure quality and security
• Bring or develop a deep knowledge of healthcare in Germany, including data sources, security, privacy, information governance requirements, and emerging trends
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Who You Are

You're a kind, passionate and collaborative problem-solver who values the opportunity to think beyond the way things are. You're excited by the prospect of working on difficult and meaningful problems each day. You seek and give candid feedback, and value the chance to make an important impact on cancer patients and society.

• You’re a data engineer with 4-8 years of relevant professional experience
• You are excited to work in a startup environment, think creatively and be scrappy to get the job done
• You are excited about working in a passionate, fast-paced, technology-driven culture
• You have a nose for value and empathy for your customers
• You have experience with agile development environments using object-oriented programming languages (e.g. Python, C#, SQL), but are also language agnostic and willing to pick up new programming languages as needed
• You have experience working with cloud platforms like AWS and data warehouse solutions like Snowflake
• You have experience with data processing and orchestration tools such as Databricks, Spark, Ray, DBT, Prefect, and/or Airflow
• You act as an expert in your domain area, and as a partner with product teams
• You understand the purpose of “boring” technology (as described in this blog post) and are willing to use the right tools to get the job done
• You can collaborate and easily explain technical terms to a non-technical, highly sophisticated audience; you have superior communication skills
• You are comfortable with ambiguity and always willing to teach and learn
• You are fluent in English
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