Global Data Engineer F/M/X

il y a 3 jours


Aimargues, France Mars Temps plein

Join to apply for the Global Data Engineer (F/M/X) role at Mars. Job Description The Platform & Engineering team at Royal Canin is responsible for managing our data capabilities. This includes 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 enthusiastic data engineers to join our team. The role is responsible for creating and managing trusted and analytical Commercial and procurement data assets, and is seen as the primary engineering contact for this area. Key Responsibilities Data Engineering Engineer and orchestrate data flows & pipelines using high quality, easily deployable, repeatable and extensible codebases that ingest and integrate data from many disparate data sources in a cloud environment using a progressive tech stack. Ensure the quality, freshness and usability of supply chain data in trusted zone(s). Create readable, manageable code with proper tests and CI/CD, manage data transformation and troubleshoot data processing issues as required. Follow RC Data Engineering best practices and contribute to their reinforcement, as well as shared assets such as Data Libraries. Build simple data models to support efficient and accurate analytical insight creation; reduce data preparation efforts for solution users to expedite their processes and reduce errors. Perform data pipeline migrations if necessary. Implement alerting and monitoring capabilities to ensure high platform reliability in compliance with Mars Cyber Security Standards and Privacy Policies. Ensure that required expertise from outside the squad (e.g. architecture, cybersecurity) is engaged as appropriate. Technical Leadership Provide a technical viewpoint for product squads using data in your oversight, ensuring proposed solutions are viable and utilize existing tools and processes. Seek to break complex/functional requirements into simple, technically manageable elements and estimate the efforts required and any risks associated with development. Partner with the Product Manager and Data Domain Lead to onboard any new development resources, ensuring they adopt coding standards set by the organization. Data Management and Governance Practice Data Lifecycle Management through Global Metadata and Access Control Management. Ensure all data models and assets have Data Quality Management standards implemented. Partner with functions and divisions to ensure the RC data capabilities roadmap, operating model and governance principles best serve the organization data strategy. Seniority level Entry level Employment type Full-time Job function Information Technology Industries Food and Beverage Manufacturing Referrals increase your chances of interviewing at Mars by 2x. #J-18808-Ljbffr



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