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Product engineering lead - core

Slough
Mars, Incorporated and its Affiliates
Engineering
€100,000 - €125,000 a year
Posted: 5 May
Offer description

Job Description:

Are you passionate about Data and Analytics (D&A) and excited about how it can transform enterprise operations? Do you possess strategic vision, technical expertise, and leadership skills to drive data-driven solutions? If so, you might be the ideal candidate for the Data and Analytics role within Mars's Global Pet Nutrition (PN) team.

Pet Nutrition (PN) is a vibrant sector within FMCG. As part of our Digital First program, we focus on placing pet parents at the center of our initiatives, digitalizing business processes, and building capabilities to achieve growth, profitability, and customer centricity. This role requires demonstrating thought leadership, technical proficiency, and the ability to navigate complex challenges while leading a team of top-tier data and analytics professionals.

The role involves transitioning to a product-based model to develop digital capabilities. Responsibilities include developing and maintaining robust data pipelines and storage solutions to support analytics and machine learning initiatives. You will report to the Director of Data Engineering Solutions and collaborate globally with engineering teams across core products.


Key Responsibilities:

1. Technical Leadership: Provide leadership to data and DevOps engineers. Collaborate on designing and evolving scalable data platforms. Promote best practices and foster a high-performance culture.
2. Engineering Standards: Define and maintain standards, patterns, and frameworks for data engineering. Ensure quality, consistency, and reusability.
3. DataOps Enablement: Drive adoption of DataOps principles. Establish CI/CD pipelines and observability standards to enhance operational efficiency.
4. Data Governance and Quality: Embed governance, security, and quality practices. Define guardrails for data access, lineage, and compliance.
5. Stakeholder Engagement: Collaborate with leadership and product owners to align data priorities and maximize value.

Mars is an equal opportunity employer. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, or other protected characteristics. Accommodations are available upon request during the application process.

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