Job Description:
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
data driven organisation. To accelerate achieving this objective, we are looking for an experienced Data Engineering Manager with knowledge on Product Engineering to join our team.
Senior Data Engineering Manager, Analytics Products leads and develops a team of data engineers (blend of associates and external 3rd party vendors) embedded across multiple cross-functional squads who work day-to-day with product, analytics, and business teams. Reporting to the Head of Platform & Engineering, this role is a critical link between the global data platform and the analytics squads, ensuring the speed and quality of delivery meets the business’s analytical needs.
The primary focus of this role is people leadership, engineering excellence, and community standardization, ensuring consistency, quality, and scalability across all analytical products. This role will not own a single product area but instead enable multiple squads to deliver high-quality data solutions through shared standards, best practices, and design thinking.
What are we looking for?
- An experienced engineering leader with a strong product mindset and technical background in building robust, analytical products (or analytical components within a B2B solution) by partnering with data science team and product managers.
- A leader who excels at coaching, mentoring, and developing data and software engineering talent with familiarity in managing engineers embedded in cross-functional teams or a matrix organization
- Someone who is comfortable with ambugity and thrives in a collaborative environment, partnering closely with product and analytics leaders to bring a vision to life.
- A strategic thinker who can guide technical decisions on architecture, weigh trade-offs, and ensure the team is building scalable and reliable solution while delivering at speed.
- More than 8 years of experience in engineering and engineering management roles or equivalent, ideally within the CPG, Consumer Products, Retail, Telecom industries or Analytical B2B solution providers.
- 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 and other local and goevernance regulations applied to CPG and retail industries.
- Ability to create a technical community with both internal and external engioneers and retaining the engagement of a team of likeminded experts
- Ability to balance the needs of business and technical stakeholders.
- Fluent in English
What will be your key responsibilities?
People Leadership & Chapter Management
- Manage, coach, and develop a distributed team of data engineers working across different squads
- Conduct regular 1:1s, performance reviews, and career development planning
- Foster a strong data engineering community with shared ownership and identity
- Support hiring, onboarding, and retention of top engineering talent
Engineering Standards & Community Enablement
- Define, implement, and enforce engineering standards across squads (coding, testing, documentation, data modeling)
- Establish best practices for pipelines, orchestration, and data reliability
- Lead community rituals (team meetings, knowledge sharing sessions, design reviews)
- Promote reuse of data models, pipelines, libraries and tooling to avoid duplication
Engineering Architecture & Governance
- Provide architectural guidance to engineers across squads
- Ensure alignment and compliance with data platform usage (warehousing, orchestration, transformation ways of working)
- Drive consistency in data modeling approaches and semantic layers for analytics products
- Champion data quality, observability, and governance practices
Cross-Squad Alignment & Delivery Enablement
- Partner with product managers and tech leads to align on priorities and technical direction
- Identify and enable cross-fucnctional opportunities and dependencies across squads
- Remove blockers and improve engineering productivity at scale
- Balance autonomy of squads with the need for standardization
Operational Excellence
- Improve development workflows, CI/CD practices, and deployment standards in collaboration with the platform team
- Define and track engineering metrics (e.g., pipeline reliability, delivery velocity, data quality SLAs) in collaboration with platform team
- Ensure incident management are defined and post-mortem practices are consistently applied
- Lead engineering perespective on DevOps practices and support models
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.
#TBdigital
Mars Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Mars and has not been reviewed or approved by Mars.
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Healthcare Strength — The benefits package is positioned as comprehensive, with broad medical coverage and additional protections like life insurance and short- and long-term disability. Mental health support is emphasized, including free mental health services and wellbeing programming under initiatives such as Mars Be Well.
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Parental & Family Support — Paid parental leave is highlighted as market-leading in the U.S., with an example of 18 weeks fully paid for both parents. Additional family-related leave types such as sick time for caregiving and bereavement leave are also described as part of the overall package.
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Retirement Support — Retirement offerings are described as strong, including 401(k) matching (with a 6% match cited) and pension plans in some cases. The broader package also references retirement savings options and contributions aligned to local market practice, supporting long-term financial security.
Mars Insights
What We Do
For more than a century, Mars, Incorporated has been driven by the belief that the world we want tomorrow starts with how we do business today. This idea is at the center of who we have always been as a global, family-owned business. Today, Mars is transforming, innovating and evolving in ways that affirm our commitment to making a positive impact on the world around us. Across our diverse and expanding portfolio of confectionery, food, and petcare products and services, we employ 133,000 dedicated Associates who are all moving in the same direction: forward. With $40 billion in annual sales, we produce some of the world’s best-loved brands including DOVE®, EXTRA®, M&M’s®, MILKY WAY®, SNICKERS®, TWIX®, ORBIT®, PEDIGREE®, ROYAL CANIN®, SKITTLES®, WHISKAS®, COCOAVIA®, and 5™; and take care of half of the world’s pets through our pet health services AniCura, Banfield Pet Hospitals™, BluePearl®, Linnaeus, Pet Partners™, and VCA™. We know we can only be truly successful if our partners and the communities in which we operate prosper as well. The Mars Five Principles – Quality, Responsibility, Mutuality, Efficiency and Freedom – inspire our Associates to take action every day to help create a world tomorrow in which the planet, its people and pets can thrive.
