Engineering Manager responsible for leading a team delivering high - quality tech solutions at Tendium, an AI - driven public procurement platform.
About the role
- Data Engineering Manager leading a team to manage and optimize data engineering operations at Royal Canin. Ensuring data integrity, security, and high performance across platforms in APAC.
Responsibilities
- 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.
- 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.
- 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.
- 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.
Requirements
- 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 likemined experts.
- Ability to balance the needs of business and technical stakeholders.
- Fluent in English.
Benefits
- 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.
Job title
Job type
Experience level
Salary
Not specified
Degree requirement
Tech skills
Location requirements
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