Senior Scientific Data Engineer
Tetrascience · Germany
What this role requires
2 requirements, read out of the advert rather than guessed from the job title:
Also mentioned, not required: JavaScript, TypeScript, Node, React, AWS, S3, Lambda, ECS, SQS, SNS, EC2, CloudWatch, CI/CD, English. Worth having, but their absence is not what gets a CV filtered out.
See how often each of these is required across open data roles in Europe.
Free, no card. Tells you which of them your CV evidences and which it only implies.
Job description
About TetraScience
TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft.
In connection with your candidacy, you will be asked to carefully review “The Tetra Way,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you.
What You Will Do
You will join TetraScience's forward deployed teams as a senior, hands-on engineer. In this role, you will work directly with biotech, pharmaceutical, and scientific companies, bringing advanced data and AI technologies into the labs that research, develop, and manufacture medicines. You will work alongside customer scientific, engineering, and IT teams to design, build, and ship integrations and data products on Tetra OS that serve scientific teams across the globe. You will also mentor other scientific data engineers, lead internal design sessions, and partner with Product Managers and Solution Architects to turn customer, product, and engineering objectives into commercialized solutions.
Act as a forward deployed engineer for a portfolio of biotech, pharmaceutical, and scientific customers. Own the technical relationship, understand their scientific workflows, and deliver solutions that move their programs forward.
Read the full description (25 more sections)Show less
Drive AI agents to design and build bidirectional integrations between Tetra OS and customer systems such as ELN, LIMS, MES, and process historians, including serverless push and pull pipelines, stateful connectors, and full stack data applications in Python and TypeScript.
Drive AI agents to design and build comprehensive data schemas and parsers for scientific data from R&D lab instruments, manufacturing, CRO, CDMO, ELN, and LIMS sources, across formats such as .xlsx, .pdf, .txt, .raw, .fid, and many other vendor binaries.
Deploy and test solutions in customer environments, including cloud, on-premises, and hybrid networks, and troubleshoot across the full stack when something breaks.
Work with product managers, solution architects, business analysts, data architects, and ML engineers to understand business requirements, recommend outcomes, and build best-in-class data products based on consensus.
Create and enforce designs with quality backed by comprehensive test automation to prove expected behaviors.
Lead process and technology improvements supporting product quality, developer experience, and platform capabilities.
Rally the team to finish Agile sprint commitments. Actively surface team inefficiencies and resolve them.
Drive results. Bring pragmatic urgency to resolving blockers and unclear requirements, and make things happen.
Provide mentorship to junior scientific data engineers and show leadership on every front.
Requirements
Proficiency in building data products as a Data Engineer or in a similar field.
Proficiency working in Python and SQL with a focus on data, integrations, and scientific applications.
Expertise in Python and working knowledge of JavaScript, TypeScript, Node, and React.
History leading customer-facing implementation projects across cross-functional teams, managing requirements, timelines, and delivery milestones.
Experience working with non-clinical data and lab scientists.
Familiarity with the biotech and pharmaceutical industry and regulated environments such as GxP.
Familiarity with networking, CI/CD, and full stack development.
Familiarity with cloud engineering on AWS, including core services such as S3, Lambda, ECS, SQS, SNS, EC2, and CloudWatch.
Excellent communication skills, attention to detail, and the confidence to take control of project delivery.
Ability to quickly understand a highly technical product and communicate effectively with customers, product management, engineering leadership
Benefits
Competitive Salary and equity in a fast-growing company.
Generous paid time off (PTO).
We are not currently providing visa sponsorship for this position
Find more English Speaking Jobs in Germany on Arbeitnow
You will apply. Then you will hear nothing.
And no one will tell you what was wrong. See it before you send: your ATS score, every weak line, and the fix for each.
- 1
Drop in your CV
One PDF, thirty seconds. No card.
- 2
See what is wrong with it
Every weak passage, quoted from your own CV, with the line to replace it.
- 3
Apply where you fit
Every European role ranked against what your CV actually says.
- Free, no card
- Your CV file is deleted after parsing
- Or skip the upload — build your profile by hand
- Refreshed every 6 hours