Senior Data Engineer / Senior Data Engineeress

About Cargill

Cargill is dedicated to delivering food and agricultural solutions that nourish the world in a safe, responsible, and sustainable manner. As a key player in the supply chain, we collaborate with farmers and customers to source, produce, and distribute essential products vital for living.

With a team of 155,000 members, we innovate with purpose, providing our customers with life’s essentials, allowing businesses to grow, communities to thrive, and consumers to live well. With over 160 years of experience as a family-owned company, we look forward while remaining true to our core values: putting people first, striving for excellence, and doing what is right—for today and for future generations.

Job Purpose and Impact

The Senior Data Engineer - Digital Technology & Data for Agriculture & Trading is responsible for designing, building, and maintaining complex data products that facilitate data analysis and reporting. Working with minimal supervision, this role ensures the efficient processing of large data sets, making them accessible for trading decision-making.

This role requires expertise in Oracle PL SQL for managing an existing application back-end. The ideal candidate will have strong SQL and Python skills, along with experience in the Snowflake platform. Familiarity with KAFKA, DBT, Airflow, and Astronomer will be advantageous for future initiatives. Experience with trading-related data is also a plus.

Key Accountabilities

• Data Infrastructure: Prepares data infrastructure to support efficient data storage and retrieval.
• Data Formats: Examines and resolves appropriate data formats to enhance data usability and accessibility across the organization.
• Data & Analytical Solutions: Develops complex data products and solutions utilizing advanced engineering and cloud-based technologies, ensuring scalability, sustainability, and robustness.
• Data Pipelines: Develops and maintains both streaming and batch data pipelines that enable seamless data ingestion, transformation, and movement to data stores such as data lakes and warehouses.
• Data Systems: Reviews existing data systems and architectures to pinpoint areas for improvement and optimization.
• Stakeholder Management: Collaborates with multifunctional data and advanced analytics teams to gather requirements and ensure data solutions meet both functional and non-functional needs of various partners.
• Data Frameworks: Constructs complex prototypes to test new concepts and implements data engineering frameworks that enhance data processing capabilities and support advanced analytics initiatives.
• Automated Deployment Pipelines: Develops automated deployment pipelines to improve the efficiency of code deployments with appropriate governance.
• Data Modeling: Conducts complex data modeling according to datastore technology to ensure sustainable performance and accessibility.

Qualifications

A minimum of 5 years of relevant work experience, typically reflecting 5 years or more of pertinent experience.

Our Offer

We provide a dynamic and stimulating international environment that challenges your abilities and harnesses your talents. In addition, we offer a competitive salary and benefits package, along with exceptional career development opportunities within one of the largest and most stable private companies in the world.

Application Process

Apply online using the form below. Please note that only applications matching the job profile will be considered.