Senior Data Engineer

Job Description

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyone's contributions and do what's right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas, including North, South and Central America Position Overview This role will be responsible for designing, building, and maintaining scalable data pipelines and architectures to support the global business?s data needs. The Data Engineer will ensure the availability, reliability, and performance of data systems by integrating raw data from various sources, optimizing data storage solutions, and enabling advanced analytics. Key responsibilities include data modeling, ETL (Extract, Transform, Load) development, and ensuring data quality and security. Effective communication skills, attention to detail, problem-solving abilities, and a strong understanding of modern data engineering tools and technologies are essential. A willingness to collaborate across teams, adapt to evolving business requirements, and continuously learn new techniques and technologies is critical to success in this role. Key Responsibilities Coordinate with the business and data owners to design and build new data models within Azure Lead discussions with IT for data exposure prioritization and cloud platform maintenance Monitor data pipeline performance, identify bottlenecks, and troubleshoot issues to ensure smooth and efficient data operations. Maintain comprehensive documentation of data pipelines, processes, and best practices to facilitate knowledge sharing Ensure data quality and security of the data pipelines, replicating the security structure provided by the raw data sources being accessed Continuously seek out industry best practice and skills to develop new capabilities for data engineering at McCormick and help drive our digital transformation Required Qualifications & Experience Bachelor?s degree in Mathematics, Statistics, Computer Science, Data Analytics/Science, or related field. 5-8 Years of Post Qualification Exp. Advanced analytical skillset. Proficiency in cleaning, visualizing, analyzing, and presenting insights from data sets Demonstrated ability coding in one or more languages (PySpark preferred) Experience with data visualization software (Power BI preferred) Experience with building data pipelines Demonstrated ability to manage multiple priorities simultaneously At McCormick, we have over a 100-year legacy based on our ?Power of People? principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values.