Tech Lead Scientific Data Engineering
TetraScience
- Cambridge, United Kingdom
- Lead/Staff
- 10+ years
- Posted
Skills
Required
- Python
- SQL
- building solutions
Preferred
- data plotting dashboarding tools
- React / Streamlit
- pre-clinical data
- data models
Join TetraScience, a leading Scientific Data and AI company dedicated to improving and extending human life. As a Tech Lead in Scientific Data Engineering, you will lead a team of Scientific Data Engineers, build data models and solutions, and drive customer success. You will work closely with cross-functional teams and have a significant impact on the company's mission. Enjoy unlimited PTO, comprehensive health benefits, a 401k savings plan, and an equity program.
Manage a team of Scientific Data Engineers, supervise their career growth and performance, and ensure successful project execution.
Responsibilities
- Collaborate with cross-functional teams to understand business requirements, gather insights, and build solutions based on consensus.
- Take ownership of building data models, prototypes, and solutions that drive customer success, and ensure high-quality data pipelines.
Requirements
- Quickly understand a highly technical product and effectively communicate with product management and engineering
- Excellent communication skills, attention to detail, and the confidence to take control of project delivery
- 10+ years working in Python and SQL with a focus on data
- 10+ years of building solutions as a Data Engineer or similar fields
- Experience leading projects, managing requirements, and handling timelines
- Experience managing multiple customer-focused implementation projects across cross-functional teams, building sustainable processes, and managing delivery milestones
- Experience manaing engineering teams with five or more direct reports
Preferred
- Experience with data plotting dashboarding tools like React and/or Streamlit is strongly preferred
- Experience working with pre-clinical data and lab scientists is strongly preferred
Pay
USD 180,000 - 230,000
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