Data Engineer
Data Engineer
Posted on :
09-08-2025
Employer Active
1 Vacancy
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
Share
Send me jobs like this
Job Alert
You will be updated with latest job alerts via emailValid email field required
Send jobs
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
- Bachelors 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.
Website address - page - Work :
No
Employment Type :
Full-time
Employment Type
Full-time
Key Skills
Report This Job
Disclaimer: Drjobpro.com is only a platform that connects job seekers and employers. Applicants are advised to conduct their own independent research into the credentials of the prospective employer.We always make certain that our clients do not endorse any request for money payments, thus we advise against sharing any personal or bank-related information with any third party. If you suspect fraud or malpractice, please contact us via contact us page.
