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- Tasks: Lead and develop a team of data engineers to deliver high-quality analytical products.
- Company: Join Royal Canin's innovative Platform & Engineering team transforming data capabilities.
- Benefits: Competitive salary, career development, and a collaborative work environment.
- Other info: Dynamic role with opportunities for growth and community building among engineers.
- Why this job: Make a real impact in a data-driven organisation while leading talented engineers.
- Qualifications: 8+ years in engineering management with strong product mindset and technical expertise.
The predicted salary is between 80000 - 100000 £ per year.
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 teams 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 ambiguity 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 solutions 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 modelling principles.
- 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 GDPR and other local governance regulations applied to CPG and retail industries.
- Ability to create a technical community with both internal and external engineers and retaining the engagement of a team of like-minded experts.
- Ability to balance the needs of business and technical stakeholders.
- Fluent in English.
Responsibilities
- 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 modelling).
- 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.
- 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 modelling approaches and semantic layers for analytics products.
- Champion data quality, observability, and governance practices.
- Partner with product managers and tech leads to align on priorities and technical direction.
- Identify and enable cross-functional opportunities and dependencies across squads.
- Remove blockers and improve engineering productivity at scale.
- Balance autonomy of squads with the need for standardization.
- 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 the platform team.
- Ensure incident management is defined and post-mortem practices are consistently applied.
- Lead engineering perspective on DevOps practices and support models.
Senior Data Engineering Manager, Analytics Products employer: Royal Canin
Contact Detail:
Royal Canin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Manager, Analytics Products
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at Royal Canin or similar companies. A friendly chat can open doors and give you insights that might just help you land that Senior Data Engineering Manager role.
✨Tip Number 2
Prepare for the interview by brushing up on your technical skills and leadership experience. Be ready to discuss how you've managed teams and delivered high-quality data solutions. We want to see your product mindset in action!
✨Tip Number 3
Showcase your collaborative spirit! During interviews, highlight examples of how you've partnered with product and analytics teams. This role is all about working together, so let them know you're a team player who thrives in a cross-functional environment.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to engage directly with us.
We think you need these skills to ace Senior Data Engineering Manager, Analytics Products
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that align with the Senior Data Engineering Manager role. Highlight your leadership experience, technical expertise, and any relevant projects that showcase your ability to manage teams and deliver high-quality data solutions.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share your passion for data engineering and how your background in product engineering can help us drive our analytics agenda forward. Be sure to mention any specific achievements that demonstrate your impact in previous roles.
Showcase Your Technical Skills: Since this role requires proficiency in SQL, Python, and big data technologies, make sure to include these skills prominently in your application. If you have experience with cloud-based platforms like Azure, don’t forget to mention that too!
Apply Through Our Website: We encourage you to apply directly through our website. This way, we can ensure your application gets the attention it deserves. Plus, it’s the easiest way for us to keep track of all the amazing talent interested in joining our team!
How to prepare for a job interview at Royal Canin
✨Know Your Data Engineering Fundamentals
Brush up on your knowledge of SQL, Python, and big data technologies like Spark. Be ready to discuss how you've applied these skills in previous roles, especially in building analytical products or components within B2B solutions.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in coaching and mentoring data engineers. Discuss how you've fostered a strong engineering community and the impact it had on team performance and morale.
✨Understand the Business Context
Familiarise yourself with Royal Canin's business model and how data analytics drives their strategy. Be prepared to discuss how you can balance technical needs with business objectives, ensuring that your team delivers high-quality data solutions.
✨Emphasise Collaboration and Agility
Highlight your experience working in cross-functional teams and using agile methodologies. Share specific instances where you've successfully navigated ambiguity and collaborated with product and analytics leaders to achieve project goals.