Scientific Data Engineer

Salary: £68,000 - 108,000 per year

Requirements:

• We are looking for a candidate who combines strong data engineering skills with the ability to work fluently across scientific and technical domains.
• Proven data engineering experience with Databricks (Delta Lake, Unity Catalog, Apache Spark) in cloud-based data platforms and environments (AWS).
• Strong programming skills in Python and SQL, with experience in software version control and deployment automation (Git and CI/CD workflows).
• Solid data modelling knowledge, both relational and dimensional, for structured and semi-structured data.
• Experience working with complex datasets and the ability to quickly grasp new domains.
• A consultative, people-facing approach.
• Ability to communicate technical concepts clearly to non-technical stakeholders, with an interest in developing coaching and training capabilities over time.
• Experience with life science data (e.g., toxicology, ecotoxicology, chemical data structures).
• Experience delivering data for machine learning model development on external platforms.
• Understanding of data architecture principles and approaches, such as data lakehouse, data mesh and data products.
• Familiarity with data quality frameworks and management tools (e.g. GX, Soda).
• A willingness to challenge the status quo, identify inefficiencies, advocate for better solutions, and champion adoption of new data products.

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.
• Report to the Digital Portfolio Lead in Product Safety and collaborate closely with the Head of Digital Strategy in Product Safety and the Safety and Regulatory Data Domain Lead.

Technologies:

• AWS
• Architect
• CI/CD
• Cloud
• Databricks
• ETL
• Git
• Support
• Machine Learning
• Python
• SQL
• Security
• Spark
• Unity
• GameDev

More:

We are Syngenta Crop Protection, a world market leader headquartered in Switzerland, pioneering solutions that safeguard global food security while championing sustainable agriculture. Our Product Safety team manages data across toxicology, ecotoxicology, metabolism and residues, helping bring new products to market and meet global regulatory requirements. This role is based at Jealotts Hill International Research Centre in the UK, a semi-rural site between Bracknell and Maidenhead and home to around 800 scientists and support staff. We offer a culture that celebrates diversity and inclusion, promotes professional development, and supports work-life balance, along with an extensive benefits package that includes a generous pension scheme, bonus scheme, private medical and life insurance, up to 31.5 days annual holiday plus 8 UK bank holidays, and a 36-hour working week.

last updated 34 week of 2026