Data Engineering Lead

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* Job Description:

**** Data Engineering Manager
** The Platform & Engineering team at Royal Canin is responsible for managing our data capabilities, including the creation, operation, and optimization of the data platform, assets, and pipelines. This is a growing team, supporting an advanced analytics agenda at Royal Canin that is rapidly transforming it into a business powered by data. To accelerate achieving this objective, we are looking for an experienced senior data engineer to join our team.

The Data Engineering Manager leads data engineering efforts for the team, with primary responsibility for managing a team of engineers who are responsible for delivering, managing and optimizing data pipelines, and workflows in different squads globally. Reporting to the Head of Platform & Engineering, this role operates next to the global data platform, facing data and analytics squads to ensure data engineering team speed and quality of delivery meets the business’s analytical and operational needs globally.

* Experience in an Applied Data Engineering role or equivalent, ideally within the CPG, Consumer Products, Retail, Telecom or Financial Services industries.
* Proficiency in SQL, Python, or other data-focused programming languages and data modeling principals.
* Experience with big data technologies (e.g. Spark) and distributed data processing.
* Good experience managing cloud-based data platforms, ideally Azure.
* Experience developing using agile software development methodologies principles such as Dev Ops, CI/CD, unit testing.
* Good understanding of Data Protection and Privacy principles and practices including GDRP.
* Experience in Line managing technical associates
* Ability to create a technical community with both internal and external engineers and retaining the engagement of a team of likeminded experts
* Ability to balance the needs of business and technical stakeholders.
* Fluent in English Technical Leadership
* Manage data engineering operations on top of the global data platform, ensuring scalability, security, and reliability of assets and pipelines.
* Optimize processes, ways of working and Dev Ops practices to enable data engineers withing squad deliver data assets with higher quality and speed
* Lead a small team (2-4 FTE) of domain-specialized data engineers, providing them with the tools, guidance and support to perform their roles with excellence.
* Ensure all product squads in D&A interface with your team for any global data asset requirements, ensuring proposed solutions are viable and utilize existing tools and processes.
* Create and help execute a framework to break complex/functional requirements down into simple/technically manageable elements, with an understanding of the efforts required and any risks associated with development.  Engineering Innovation & Enhancement
* Provide an outside-in perspective, drawing innovations from the rest of Mars and industry into the RC data engineering community.
* Work with the squad Product Manager and Scrum Master to increase engineering ways of working, leading to higher quality/faster delivery.
* Help onboard any new development engineers, ensuring they adopt coding standards set by the organization. Work with the Data Engineering community to evolve standards over time. Data Management and Governance
* Work with Data Domain Leads and Architects to ensure all data models and assets have Data Quality Management standards implemented, e.g. Metadata and Access Control, Data Lifecycle Management.
* Partner with functions and divisions to ensure the RC data capabilities roadmap, operating model and governance principles are best serving the organization data strategy. Ensure compliance with relevant regulations and internal policies, such as GDPR, CCPA, or industry-specific standards.
* Collaborate with Mars Petcare Data Engineering teams to generate synergies by sharing assets / best practice and mutualizing ways of working aligned with ecosystem strategy. Data Engineering
* Establish credibility with stakeholders at all levels of the organization. Act as an expert in complex or ambiguous business discussions, communicating Data Engineering…