TetraScience is seeking a talented Scientific Data Engineer to join our EMEA team, focusing on developing robust data pipelines and integrations for life sciences organizations. This role offers the opportunity to innovate in scientific data management, enabling faster insights and collaboration across global research efforts.

TetraScience is revolutionizing how life sciences companies manage and utilize their scientific data. As a Scientific Data Engineer in our EMEA team, you will play a pivotal role in designing, building, and maintaining scalable data infrastructures that power our cloud-based platform. This position is ideal for engineers passionate about bridging data science and scientific research to accelerate drug discovery and innovation.

Your responsibilities will include collaborating with cross-functional teams to ingest, process, and analyze vast amounts of experimental and instrument data from sources like lab equipment and ELNs. You will develop automated workflows to ensure data quality, compliance with regulatory standards (e.g., GDPR, FDA), and seamless integration with client systems. Opportunities abound to work on advanced topics such as machine learning pipelines for predictive analytics and real-time data streaming for collaborative research environments.

We value engineers who thrive in dynamic settings and are eager to contribute to a mission-driven company that's helping bring life-saving therapies to market faster. Join us to make a tangible impact on global health outcomes while growing your career in a supportive, innovative culture.

• Bachelor's or Master's degree in Computer Science, Data Science, or a related field
• 3+ years of experience in data engineering, with a focus on scientific or big data environments
• Proficiency in Python, SQL, and cloud platforms such as AWS, Azure, or GCP
• Experience with data pipelines tools like Apache Airflow, Kafka, or Spark
• Strong understanding of ETL processes and data modeling for scientific datasets
• Familiarity with life sciences data standards (e.g., HL7, FHIR) is a plus
• Excellent problem-solving skills and ability to work in a fast-paced, remote environment
• Fluency in English; German language skills preferred for EMEA operations

• Competitive monthly salary and performance-based bonuses
• Fully remote work with flexible hours to support work-life balance
• Comprehensive health insurance coverage and wellness programs
• Professional development opportunities, including conferences and certifications
• Generous paid time off and parental leave policies
• Access to cutting-edge tools and technologies in scientific computing
• Collaborative team environment with regular team-building events
• Stock options and employee equity programs