Data Engineer

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 data assets for APAC. You will be seen as the primary engineering contact for this area, with the expectation of providing expert advice and technical leadership to product squads utilizing data assets under your oversight, which will include product leaders, data scientists, data domain experts, and front-end developers.

• 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.

• Responsible for ensuring the quality, freshness and usability of regional-specific data for Demand, Supply and other relevant domains in trusted zone(s).

• Create readable manageable code with proper test and CI/CD, managing data transformation and troubleshooting 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.

• 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 down into simple/technically manageable elements, and with the help of others estimate the efforts required and any risks associated with development.

• Partner with the Product Manager and Data Domain Lead to onboarding any new development resources, ensuring they adopt coding standards set by the organization. Work with the Data Engineering community to evolve standards over time.

• 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 are best serving the organization data strategy.

• 1-4 years of experience in an Applied Data Engineering role or equivalent, ideally within the CPG, Consumer Products, Retail, Telecom or Financial Services industries.

• Experience in working with data (Python/PySpark/Databricks) in cloud-based data systems environment (ideally Azure).

• Comfortable working both by themselves and in a team setting. Strong planning and prioritization skills.

• Awareness of writing code using agile software development methodologies principles such as DevOps, CI/CD, unit testing.

• Understanding of Data Protection and Privacy principles and practices including GDRP.

• Great at developing new relationships, driving positive change, and matching analytics opportunities to data acquisition strategy.

• Quick learner, with flexibility and willingness to adapt to new software and techniques.

• Ability to communicate with business and technical stakeholders.

• Required: Either academic or self-taught background in one or more of the below areas

• Preferred: Batchelor's degree or higher in Computer Science, Data Science, Mathematics, Statistics, or other numerate discipline

• Preferred: Professional qualification as Azure Data Engineer Associate, Databricks Certified Data Engineer (or similar)

Language Proficiency Requirements

• Candidates must possess strong bilingual communication skills, with fluency in both Japanese and English. The role requires the ability to navigate professional environments, engage in cross-cultural collaboration, and articulate ideas clearly in both languages.