Scientific Data Platform Engineer (Databricks)

Syngenta Group; Bracknell; On-site; GBP 65,000 - 90,000; Full time

Benefits offered by this job

Generous pension

Private medical & life insurance

Up to 31.5 days annual holiday + 8 UK\

36-hour working week

Job summary

Syngenta invites a Scientific Data Engineer to join the Product Safety data-transformation team at Jealott's Hill. You will bridge scientists and data platforms, delivering scalable ETL/ELT pipelines and data governance aligned with FAIR principles.

Working on Databricks with Delta Lake and Unity Catalog on AWS, you will help turn research needs into production-ready data products and mentor colleagues as you grow. This is an on-site role near Bracknell within a leading life-science company.

Qualifications

• Proven data engineering experience with Databricks in cloud platforms.
• Strong Python and SQL programming skills.
• Experience with data modelling (relational & dimensional).
• Able to communicate with non-technical stakeholders.
• Consultative, problem-solving mindset and collaborative approach.
• Willingness to deepen domain knowledge in a regulated industry.

Responsibilities

• Architect and maintain scalable ETL/ELT pipelines that transform scientific datasets into analysis-ready formats aligned with FAIR data principles.
• Lead Databricks integration within Product Safety, driving best practices across Delta Lake, Unity Catalog, and data governance.
• Deliver strategic data product prototypes and partner with the Safety and Regulatory Data Domain Lead to transition these into production-grade products.
• Bridge scientific subject matter experts and technical teams, clarifying requirements and ensuring data products are both business-relevant and technically sound.
• Contribute to data literacy initiatives within Product Safety, with the opportunity to develop training and mentoring capabilities as you grow in the role.

Skills

Databricks

Python

SQL

Git

CI/CD

AWS

Data modelling

Tools

Delta Lake

Unity Catalog

Apache Spark

AWS

Job description

Syngenta invites a Scientific Data Engineer to join the Product Safety data-transformation team at Jealott's Hill. You will bridge scientists and data platforms, delivering scalable ETL/ELT pipelines and data governance aligned with FAIR principles.

Working on Databricks with Delta Lake and Unity Catalog on AWS, you will help turn research needs into production-ready data products and mentor colleagues as you grow. This is an on-site role near Bracknell within a leading life-science company.