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 28800 - 48000 £ 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.
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.
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 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
Contact Detail:
Syngenta Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific bioinformatics tools and data formats mentioned in the job description, such as FASTQ, BAM, and VCF. This knowledge will not only help you understand the role better but also demonstrate your commitment and readiness to contribute from day one.
✨Tip Number 2
Showcase your experience with cloud computing platforms like AWS or GCP by discussing any relevant projects you've worked on. Highlighting your ability to leverage these technologies for scalable data solutions can set you apart from other candidates.
✨Tip Number 3
Connect with current or former employees of Syngenta on professional networking sites. Engaging with them can provide you with insider insights about the company culture and expectations, which can be invaluable during interviews.
✨Tip Number 4
Prepare to discuss your problem-solving and analytical skills in detail. Think of specific examples where you've led development activities or collaborated with cross-functional teams, as this aligns closely with the responsibilities of the Data Engineer role.
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
✨Understand the Role
Make sure you thoroughly understand the responsibilities of a Data Engineer at Syngenta. Familiarise yourself with data governance, ETL processes, and the specific technologies mentioned in the job description, such as Python, R, and cloud platforms like AWS or GCP.
✨Showcase Your Technical Skills
Prepare to discuss your programming skills and experience with data orchestration. Be ready to provide examples of how you've built scalable data pipelines or optimised database schemas in previous roles, especially in bioinformatics or related fields.
✨Demonstrate Problem-Solving Abilities
Expect questions that assess your analytical skills and problem-solving capabilities. Think of specific challenges you've faced in data engineering and how you overcame them, particularly in cross-functional team settings.
✨Align with Company Values
Syngenta values diversity and sustainability. Be prepared to discuss how your personal values align with their mission to advance agriculture while caring for the planet. This could include your thoughts on data integrity and ethical data use in the agricultural sector.