Hybrid Scientific Data Platform Engineer — AI-ready data layer

Tropic; Norwich; On-site; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Private Health Care

Medical Cash Plan

25 days annual leave

Life Assurance

Job summary

Tropic is seeking its first dedicated data engineer to define and build the shared data foundation for a high-value scientific estate in Norwich. You will connect gene-editing outcomes, field trials, genotyping and phenotyping data into scalable architectures to enable AI-driven crop decisions.

Based onsite in Norwich with two days a week in the office, you will collaborate with Bioinformatics, IT and business data owners to design data models, pipelines and standards that support analytics,

Qualifications

• 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.

Responsibilities

• 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.

Skills

Python

SQL

Data modeling

Data architectures

ETL/ELT pipelines

APIs integration

Workflow orchestration

Airflow

Dagster

dbt

Tools

Airflow

Dagster

dbt

Job description

Tropic is seeking its first dedicated data engineer to define and build the shared data foundation for a high-value scientific estate in Norwich. You will connect gene-editing outcomes, field trials, genotyping and phenotyping data into scalable architectures to enable AI-driven crop decisions.

Based onsite in Norwich with two days a week in the office, you will collaborate with Bioinformatics, IT and business data owners to design data models, pipelines and standards that support analytics,