At a Glance
- Tasks: Design and maintain data pipelines for bioinformatics, ensuring data quality and governance.
- Company: Join Syngenta, a leader in agricultural innovation, dedicated to sustainable farming solutions worldwide.
- Benefits: Enjoy a generous benefits package, including up to 31.5 days holiday and private medical insurance.
- Why this job: Make a real impact in agriculture while working in a diverse, global team focused on innovation.
- Qualifications: Strong programming skills in Python and R, with experience in cloud platforms and data orchestration.
- Other info: Work at Jealott's Hill, a key research site, in a supportive and inclusive environment.
The predicted salary is between 36000 - 60000 £ per year.
Syngenta Crop Protection is a leader in agricultural innovation, bringing breakthrough technologies and solutions that enable farmers to grow healthy and nutritious food while taking care of the planet. We offer a leading portfolio of crop protection solutions for plant and soil health, as well as digital solutions that transform the decision-making capabilities of farmers. Our 17,900 employees serve to advance agriculture in more than 90 countries around the world. Syngenta Crop Protection is headquartered in Basel, Switzerland, and is part of the Syngenta Group. Our employees reflect the diversity of our customers, the markets where we operate and the communities which we serve. Regardless of your position, you will have a vital role in safely feeding an ever-increasing population while taking care of our planet. Join us and help shape the future of agriculture.
We have an exciting opportunity for a passionate and experienced Data Engineer to join our R&D IT team to design and own data publishing scenarios for our Bioinformatics Platform! You will collaborate with the platform team to design and establish data governance policies and procedures, while designing production-grade ETL processes to integrate data.
Key responsibilities will include:
- Working closely with bioinformaticians to design, build, and maintain scalable data pipelines for processing multi modal -omics datasets.
- Establishing and enforcing data quality standards.
- Developing and optimizing database schemas for efficient storage and retrieval of bioinformatics and biological data.
- Leveraging cloud technologies to build and maintain scalable, cost-effective data solutions.
- Ensuring data FAIRness and integrity, including third-party bioinformatics tools and databases.
- Establishing guard-rails and document best practices to support the data platform users, and drive platform adoption.
What we are looking for?
- Awareness of the methods and standards in data engineering, DevOps practices and IT standards.
- Strong programming skills, including Python and R.
- Familiarity with Linux OS and Shell scripting.
- Extensive experience in data orchestration spanning SQL and NoSQL databases.
- Proficiency in cloud computing platforms and experience in modern data platform solutions (AWS, GCP, Databricks, Snowflake).
- Familiarity with workflow management systems (e.g., Nextflow, Snakemake).
- Knowledge of bioinformatics tools and data formats (e.g., FASTQ, BAM, VCF) and understanding of omics technologies.
- Experience in the agriculture or other life sciences industry.
- Strong problem-solving and analytical skills with the ability to lead development activities for a cross functional team.
Our site 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:
- Extensive benefits package including a generous pension scheme, bonus scheme, private medical & life insurance.
- Up to 31.5 days annual holiday.
- A position which contributes to valuable and impactful work in a stimulating and international environment.
- The chance to work as part of a global team to address the current and future needs of the agricultural sector.
- Learning culture and wide range of training options.
Syngenta has been ranked as a top 5 employer and number 1 in agriculture by Science Journal. 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. Jealott's Hill has Disability Confident certification. We are committed to making all stages of our recruitment process accessible to all candidates and our Jealott's Hill site are a Disability Confident Level 2 Employer. Please let us know if you need any assistance or reasonable adjustments throughout your application and we will do everything we can to support you.
Data Engineer employer: Syngenta Group
Contact Detail:
Syngenta Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as AWS, GCP, and Databricks. Having hands-on experience or projects that showcase your skills in these platforms can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the bioinformatics and data engineering fields. Attend relevant meetups or webinars to connect with people who work at Syngenta or similar companies. This can provide you with insider knowledge and potentially a referral.
✨Tip Number 3
Demonstrate your problem-solving skills by preparing examples of past projects where you successfully designed and implemented data pipelines. Be ready to discuss these experiences during interviews to show how you can contribute to their R&D IT team.
✨Tip Number 4
Research Syngenta's values and recent initiatives in agricultural innovation. Tailoring your conversation to align with their mission can help you stand out as a candidate who is genuinely interested in contributing to their goals.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and qualifications required for the Data Engineer position at Syngenta. Tailor your application to highlight relevant experiences and skills that align with their needs.
Highlight Relevant Skills: In your CV and cover letter, emphasise your programming skills in Python and R, as well as your experience with SQL and NoSQL databases. Mention any familiarity with cloud platforms like AWS or GCP, as these are crucial for the role.
Showcase Your Experience: If you have experience in bioinformatics or the agriculture sector, be sure to include specific examples of projects you've worked on. This will demonstrate your understanding of the industry and your ability to contribute effectively.
Craft a Compelling Cover Letter: Write a cover letter that not only outlines your qualifications but also expresses your passion for agricultural innovation and data engineering. Make it personal and connect your goals with Syngenta's mission to advance agriculture.
How to prepare for a job interview at Syngenta Group
✨Showcase Your Technical Skills
Make sure to highlight your programming skills in Python and R during the interview. Be prepared to discuss specific projects where you've used these languages, especially in data engineering contexts.
✨Understand Data Governance
Familiarise yourself with data governance policies and procedures. Be ready to explain how you would establish and enforce data quality standards, as this is a key responsibility for the role.
✨Demonstrate Cloud Proficiency
Since the role involves leveraging cloud technologies, brush up on your knowledge of platforms like AWS, GCP, and Databricks. Be prepared to discuss how you've used these tools to build scalable data solutions.
✨Know Your Bioinformatics
Given the focus on bioinformatics, ensure you understand relevant tools and data formats such as FASTQ, BAM, and VCF. Being able to discuss your experience with omics technologies will set you apart.