Data Engineering Lead

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 Lead leads data engineering efforts for the team, with primary responsibility for delivering, managing and optimizing data pipelines, platforms, and workflows in the region. Reporting to the Head of Platform & Engineering, this role works on the global data platform to ensure data integrity, security, and high performance across both platforms to meet the business’s analytical and operational needs in APAC.

• 5-10 years of 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 DevOps, CI/CD, unit testing.

• Good understanding of Data Protection and Privacy principles and practices including GDRP.

• Experience setting and monitoring the work of other technical resources, whilst 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 across the EU region on the global data platform, ensuring scalability, security, and reliability of assets and pipelines.

  • 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.

  • Co-ordinate, advise, and review both the problem-solving approach and code written by Data Engineers in your team, to increase quality of deliveries.

• Engineering Innovation & Enhancement

• • Oversee evolution of platform technologies to improve quality, cost, and/or seek automation solutions to decrease overall effort. Work both with your team and broader stakeholders to implement such enhancements, whilst sharing with the RC Data Engineering community.

  • 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 resources, 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 related possibilities and concepts in a relatable way.

  • Partner with Product Managers and Data Domain Leads to ensure criteria for data quality, freshness and usability are understood and possible, so they can generate data-driven insights.

  • Monitor the operational performance of data systems and resolve escalated issues.

  • Assure your team are creating readable, manageable code, with proper monitoring, testing and CI/CD operations.

• Ensure that product architecture and security is designed and implemented in accordance with RC & Mars standards, and in collaboration with architects.

• Work with diverse and talented Associates, all guided by the Five Principles.

• Join a purpose driven company, where we’re striving to build the world we want tomorrow, today.

• Best-in-class learning and development support from day one, including access to our in-house Mars University.

• An industry competitive salary and benefits package, including company bonus.

#TBDDT