At a Glance
- Tasks: Transform scientific data into scalable solutions and bridge the gap between science and technology.
- Company: Join Syngenta, a leader in sustainable agriculture and global food security.
- Benefits: Enjoy a competitive salary, generous holiday, and extensive benefits package.
- Other info: Work in a diverse environment with excellent career growth opportunities.
- Why this job: Make a real impact on global food safety while developing your data engineering skills.
- Qualifications: Experience in data engineering with strong programming skills in Python and SQL.
The predicted salary is between 49500 - 60500 £ per year.
- Company Description
- About Syngenta
At Syngenta Crop Protection, we're pioneering solutions that safeguard global food security while championing sustainable agriculture.
As a world market leader headquartered in Switzerland, we empower farmers with innovative crop protection technologies that defend against nature's toughest challenges.
We unite advanced science with digital solutions to develop intelligent crop protection that maximizes yields while minimizing environmental impact.
Join our mission of revolutionizing plant protection from seed to harvest.
Job Description
As Scientific Data Engineer, you sit at the heart of Syngenta's Product Safety’s digital transformation.
You are the critical link between our scientific experts and the core data engineering teams - translating complex research requirements into scalable, production-ready data solutions.
This is not a purely technical role: you are equally a consultant, a problem-solver and a key contributor to our data strategy who helps scientists unlock the full value of data.
The Product Safety team generates and manages vast amounts of data across toxicology, ecotoxicology, metabolism and residues - all critical to bringing new products to market and meeting global regulatory requirements.
Your job is to make that data accessible, reliable, and useful at scale.
This is an opportunity for a data engineer who enjoys working close to science - translating research needs into data solutions.
You bring a sound practical foundation in data engineering and are ready to deepen your technical craft, build scientific domain expertise in a regulated industry, and take on increasing ownership as you grow in the role.
You will
- 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.
You will 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.
Qualifications
We are looking for a candidate who combines strong data engineering skills with the ability to work fluently across scientific and technical domains.
Essential skills and experience
- 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 - you listen, explain, and bring people along in a change process.
- An ability to communicate technical concepts clearly to non-technical stakeholders, with an interest in developing coaching and training capabilities over time.
Desirable
- 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 - identifying inefficiencies, advocating for better solutions, and championing adoption of new data products.
- Additional Information
Jealott's Hill International Research Centre UK is situated in pleasant semi-rural surroundings between Bracknell and Maidenhead and is the place of work for approximately 800 Syngenta scientists and support staff.
Jealott’s Hill is one of the main global research and development sites and key activities include research into discovery of new active ingredients, new formulation technologies, product safety and technical support of our product range.
What We Offer
- A culture that celebrates diversity & inclusion, promotes professional development, and strives for a work-life balance that supports the team members.
- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
- Up to 31.5 days annual holiday plus 8 UK bank holidays.
- 36-hour working week.
Syngenta is an Equal Opportunity Employer and does not discriminate in recruitment, hiring, training, promotion or any other employment practices for reasons of race, color, religion, gender, national origin, age, sexual orientation, marital or veteran status, disability, or any other legally protected status.
Do you recognize yourself in this profile? Don’t wait, apply now! You can apply online via our intranet or our career page at jobs. syngenta. com.
For questions, please contact our recruiter Lars Conijn at
[email protected] or call/Whats App +31 6 28 89 44 84.
Scientific Data Engineer - Product Safety in Bracknell employer: Syngenta Group
Syngenta-Group is an excellent employer, offering a dynamic work environment in Cambridge where innovation meets sustainability. Employees benefit from a comprehensive package that includes extensive training and professional development opportunities, fostering a culture of growth and collaboration. With a commitment to compliance and excellence in crop protection, working here means being part of a team that makes a meaningful impact on agriculture and the environment.
StudySmarter Expert Advice🤫
We think this is how you could land Scientific Data Engineer - Product Safety in Bracknell
✨Get Involved in Research Communities
Dive headfirst into the scientific research world by joining relevant communities and forums. Engage in discussions, share your insights, and even attend conferences or seminars in your field. This not only boosts your visibility but can also lead to potential job opportunities—don't forget to connect with like-minded folks!
✨Show Off Your Research Projects
Have you worked on any cool research projects? Make it easy for potential employers to see your work by creating a portfolio or a personal website. This way, when you apply for roles like the one at Syngenta Group, you can point them to your projects and publications, showcasing your expertise directly.
✨Utilise Professional Networks
Networking is key in scientific research. Join professional bodies or organisations related to your field. They often have job boards and resources tailored for job seekers. Make connections with professionals who may know about openings or can give you tips on landing a full-time position.
✨Keep Your Eyes on Openings & Apply Directly
Don’t just rely on job boards! Keep an eye on the careers section of the websites of companies like Syngenta Group. Apply directly through their website because sometimes they post jobs there before anywhere else. Plus, it shows your proactive approach!
We think you need these skills to ace Scientific Data Engineer - Product Safety in Bracknell
Some tips for your application 🫡
Highlight Your Research Experience:When applying for a full-time role in scientific research, make sure to emphasise your research experience prominently in your CV. Share specific projects you’ve worked on, the methodologies you used, and any significant findings. If you’ve published papers or presented at conferences, definitely include that too – it shows you’re on it in the academic world!
Tailor Your Cover Letter to the Research Area:Your cover letter should reflect your passion for the specific area of research at Syngenta Group. Mention relevant experiences that align with the organisation’s goals or projects. This shows that you’ve done your homework and are genuinely interested in the position – plus, it helps us see how you’d fit into the team dynamics.
Showcase Your Data Analysis Skills:In scientific research, data analysis skills are a big deal! Make sure to detail any relevant analytical tools or software you’re familiar with, like R, Python, or statistical packages. Employers are keen to know you can handle the data-heavy elements of the role, so add specific examples where you’ve used these skills effectively.
Discuss Your Future Research Goals:In your motivation section, it’s a great idea to talk about your future research goals and how they align with the work being done at Syngenta Group. This shows that you’re not just looking for any job, but rather a chance to contribute meaningfully to the field. We love to see applicants who are forward-thinking and enthusiastic about their research journey!
How to prepare for a job interview at Syngenta Group
✨Showcase Your Research Skills
In scientific research, it’s crucial to demonstrate your ability to design and conduct experiments. Come armed with examples of past projects where you've developed hypotheses, collected data, and analysed results. Be ready to discuss any specific methodologies or tools you’ve used, like PCR techniques or statistical software.
✨Prepare for Technical Questions
Expect some technical questions specific to your field. Make sure you're up to speed with recent advancements in scientific research related to the role at Syngenta Group. Brush up on concepts relevant to their projects and be prepared to discuss how you would approach a specific research problem or challenge they might face.
✨Know Your Publications
If you've authored or co-authored any papers, be prepared to discuss them! Highlighting your contributions to published research can really set you apart. It shows not only your expertise but also your ability to communicate complex ideas clearly, which is key in scientific research roles.
✨Exhibit Your Team Spirit
In full-time roles, collaboration is often at the heart of scientific research. Prepare examples that show how you've successfully worked in teams, dealt with conflicts, or contributed to group projects. We want to know how you can work effectively with the team at Syngenta Group to drive research projects forward.
