Data Engineer

Company Description
At the Syngenta Group, our 56,000 people across more than 90 countries strive every day to transform agriculture through tailor-made solutions for the benefit of farmers, society and our planet – making us the world's most local agricultural technology and innovation partner.
Job Description
Purpose

• Develop and maintain robust data pipelines and infrastructure to support the creation of a supply chain digital twin.
• Enable accurate, real-time, and predictive insights by integrating and transforming data from diverse sources.

Collaborate with cross-functional teams to enhance supply chain visibility, performance, and decision-making through advanced data engineering practices

Accountabilities

• Design and implement data pipelines to integrate real-time and historical data from multiple sources, including IoT devices, ERP systems, and external data feeds, into the digital twin environment.
• Assist with data extraction, transformation, and loading (ETL/ELT) processes using modern tools and frameworks.
• Ensure the accuracy, completeness, and timeliness of data feeding into the digital twin by implementing robust data validation, monitoring, and quality assurance processes.
• Collaborate with supply chain analysts and simulation experts to model and optimise the digital twin, enabling predictive insights and decision-making for supply chain performance improvements.
• Collaborate with data analysts, data scientists, and stakeholders to understand data requirements and provide technical support.
• Develop and maintain technical documentation for data processes and infrastructure.
• Assist in implementing and maintaining data governance and security best practices.
• Contribute to the optimisation of databases and query performance.
• Support the integration of third-party data sources and APIs.
• Participate in team code reviews, ensuring quality and adherence to standards.
• Stay up to date with emerging technologies, tools, and best practices in data engineering.

Qualifications
Required Knowledge & Technical Skills

• Bachelor's degree in Computer Science, Data Science, Engineering, Mathematics, or a related discipline (or equivalent practical experience).
• Proficient in using SQL for designing, developing, and optimising queries to manage and manipulate data effectively
• Skilled in Python programming for data analysis, automation, and developing efficient solutions, with experience in libraries such as Pandas, NumPy, and SQLAlchemy to support data-driven projects.
• Understanding of ETL processes and data pipeline design.
• Basic knowledge of data modelling, warehousing, and big data technologies.
• Strong problem-solving and analytical skills.
• Proficiency in Microsoft Office: Word, Excel, PowerPoint, SharePoint, Teams.
• Experience using virtual meeting & facilitation tools, such as Zoom, Mural/LucidChart/Miro, Menti, is advantageous.

Required Experience

• Previous internship, placement, or project experience in data engineering, data science, software development, or a related field (desirable).
• Familiarity with database design, management and querying (SQL, NoSQL & Cypher).
• Exposure to cloud platforms such as AWS, Azure, Google Cloud, or Data Bricks (preferred but not essential).

Critical Success Factors

• Excellent communication and collaboration abilities to work within a team environment.
• Eagerness to learn and adapt to new tools and technologies in a fast-paced environment.
• Ability to manage a busy workload and multiple tasks, balancing parrallel projects through effective organisation and time management skills to ensure desired outcomes are fully achieved on time.
• Complete activities to a high standard, demonstrating a consistently high level of attention to detail.

Additional Information
Note: 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, gender identity, marital or veteran status, disability, or any other legally protected status.

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