At a Glance
- Tasks: Design and build scalable data architecture for groundbreaking scientific projects.
- Company: Join Tropic, a leader in agricultural gene-editing innovation.
- Benefits: Enjoy competitive pay, private health care, and 25 days annual leave.
- Other info: Dynamic team environment with excellent career growth opportunities.
- Why this job: Make a real impact on food security and sustainability through data engineering.
- Qualifications: Five years in data engineering with strong Python and SQL skills.
The predicted salary is between 63000 - 77000 £ per year.
We are looking for our first dedicated data engineer to define and build the shared data foundation for a complex, high-value scientific estate.
Tropic has built a decade of proprietary scientific evidence spanning gene-editing outcomes, field trials, genotyping, phenotyping and product decisions.
This role will make that evidence more connected, traceable and reusable, enabling scientists and AI applications to learn from previous results and improve future crop-development decisions.
You will define the architecture that connects Tropic's scientific and operational data through shared identifiers, metadata, lineage and governance.
Working with Bioinformatics, IT and business data owners, you will recommend the data engineering stack to support AI programmes across science, commercial, pipeline and supply.
Within your first year, you will launch the first connected scientific data layer and operationalise the shared architecture supporting Tropic's AI programs connecting genome-editing designs with experimental, genotyping and phenotypic outcomes so that we can systematically learn from our own data and improve future design decisions.
The architecture developed through this work will provide a foundation for wider scientific, operational, analytics and AI applications.
What you will do
- Design and build scalable data architecture, models, pipelines and integrations across scientific and business systems.
- Establish consistent approaches to identifiers, metadata, data quality, lineage and traceability.
- Create reusable data foundations that support bioinformatics, analytics, machine learning and AI.
- Evaluate technical options and help establish data-engineering standards and best practices.
- Work closely with scientists, Bioinformatics and IT to translate complex questions into practical data solutions.
Essential skills and experience
- Around five years' experience in data engineering, software engineering or a related data-platform role, with experience taking ownership of technical design.
- Strong hands-on experience with Python and SQL.
- Experience designing data models and data architectures across multiple systems and building and operating production-quality ETL/ELT pipelines and automated data workflows.
- Experience integrating heterogeneous data sources, databases and APIs.
- Experience with workflow orchestration tooling (e. g. Airflow, Dagster or dbt) for scheduling and operating production data pipelines.
- Good understanding of data quality, metadata, lineage, testing and reproducibility.
- Ability to evaluate technical options and make pragmatic, scalable and cost-aware architecture decisions.
- Strong problem-solving skills and the ability to translate ambiguous requirements into implementable solutions.
- Strong communication and collaboration skills across technical and non-technical teams.
Desirable skills and experience
- Experience in one or more of the following would be an advantage, but is not required:
- Scientific, biotechnology, life-sciences or other R&D data.
- Azure and/or Google Cloud Platform.
- ELN or LIMS platforms such as Benchling.
- Preparing data for analytics, machine learning or AI applications.
- Semantic modelling, ontologies or knowledge graphs.
- CI/CD, infrastructure-as-code or other modern software-engineering practices
About Us
Tropic is one of the world’s leading agricultural gene-editing companies.
Our team is dedicated to the development and commercialization of high-performing varieties of tropical crops to provide significant benefits to growers, processors, and consumers globally, tackling real-world problems around food security and sustainability.
Our vision is to become a leading seed business with significant ownership of its products from the laboratory to the field, while maintaining constructive relationships with growers and consumers based on transparency and trust.
Why Join Tropic?
Competitive compensation and benefits including Private Health Care, Medical Cash Plan, 25 days annual leave and Life Assurance
- Excellent learning and career development opportunities
- Diverse workforce operating in a dynamic working environment
- Further Information
- Job Location - Norwich UK (on-site two days a week)
- #J-18808-Ljbffr
Scientific Data Platform Engineer in Norwich employer: Tropic
Tropic is an exceptional employer, offering a unique opportunity to be at the forefront of agricultural innovation in Norwich. With a commitment to employee growth, competitive benefits including private healthcare and generous annual leave, and a dynamic work culture that values collaboration and diversity, Tropic empowers its team to make meaningful contributions to global food security and sustainability. Join us to shape the future of crop development while enjoying a supportive environment that fosters professional development and personal well-being.
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We think you need these skills to ace Scientific Data Platform Engineer in Norwich
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Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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