Principle Data Engineer

Principle Data Engineer

Łódź, Poland – hybrid setting (2 days in the office per week)

MAIN RESPONSIBILITIES

Team Leadership

• Guide and Mentor Team Members: Lead, coach, and mentor Data Engineers and ML Engineers, and work closely with Analysts, Visualization Engineers, and Data Scientists to empower them to deliver innovative and effective data solutions.
• Foster Collaboration: Promote a collaborative and inclusive team environment, encouraging open communication and knowledge sharing among team members.
• Drive Technical Excellence: Set high standards for technical excellence and ensure the team adheres to best practices in data engineering, analytics, and operations.
• Support Professional Development: Identify and support the professional development needs of team members, providing opportunities for growth and skill enhancement.
• Strategic Vision: Develop and communicate a clear vision for the data engineering team, aligning team goals with the overall business strategy.

Data Architecture

• Define Future Data Architecture: Establish the future state of the data architecture and underlying infrastructure, ensuring it aligns with business goals and supports scalability and performance.
• Conceptual Data Modeling: Model business data conceptually and independently of applications and physical implementations, creating a blueprint for an integrated framework of accessible, secure data.
• Best Practices and Knowledge Sharing: Capture and share best-practice knowledge among the solutions architect community, fostering a culture of continuous improvement and innovation.
• Requirement Gathering and Delivery: Liaise with product owners and business teams to gather requirements and address issues, delivering data-driven projects that meet business needs.
• Project Guidance and Coordination: Advise and support projects regarding data matters, coordinating with multiple delivery teams and providing guidance on best practices in data engineering, analytics, operations, and support.
• Cloud Infrastructure Partnership: Partner with Cloud Solution Architects to ensure cloud infrastructure is built and configured to meet the evolving needs of the data analytics community.

Support to Product Owner

Technical Vendor Management

• Ensure Compliance: Ensure that vendors understand and adhere to the company's data architecture standards and quality requirements.
• Evaluate Vendor Performance: Regularly assess vendor performance, providing feedback and addressing any issues to maintain high standards of service and delivery.
• Stay Informed on Vendor Offerings: Keep up to date with the latest offerings and advancements from vendors to leverage new technologies and solutions that can benefit the company.

Business Requirements

• Support and serve as a backup for Product Owner for high level discussion with business on goals and priorities.
• Work with Product Owner to translate business goals and priorities into EDS priorities and a roadmap for analytics.
• Work with BA to translating business requirements to technical tasks for team as a backlog in ADO.

Analytics Environment and Tooling

• Work with Product Owner on enhancing analytics environments and implementing new solutions.

       Security and Governance

• Support Product Owner and Security Architect to define and implement business policies and procedures related to governing and securing data at McCormick.
• Ensure consistency between security model in SAP (or other source systems such as Salesforce) and analytics data lake

CANDIDATE PROFILE

• Bachelor's degree in computer science or other relevant discipline
• Google Cloud Professional Data Engineer Certification or Microsoft Certified: Azure Data Engineer Associate
• Very strong experience in data engineering, with a focus on data architecture and data mapping.
• Proven experience leading technical teams in a Data Engineering or Data Science environment.
• Interpersonal Skills - leadership, interactions, communication, influence           
• Proficiency in leading both physical and virtual, global, and culturally diverse teams.
• Effective communication skills and ability to communicate effectively on technical and business issues both internally and externally.
• Ability to work independently, navigate problems, resolve conflicts, and bring solutions to the table.
• Build strong interpersonal relationships and be able to persuade, negotiate and influence for meeting business objectives.
• Innovative thinker - able to turn customer requirements into workable solutions.
• Excellent time management and prioritization skills
• Knowledge of data analysis, visualization techniques, and frameworks.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Experience working in an agile framework.

COMPANY

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 with recognized brands including Kamis.

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.

TO APPLY

Agencies: McCormick as needed will work with external recruitment vendors through our Agency Portal. Unless previously contacted, McCormick does not accept unsolicited resumes from external recruiting agencies.

McCormick & Company is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, colour, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

As users of the disability confident scheme, we guarantee to interview all disabled applicants who meet the minimum criteria for the vacancy/ies.

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