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- Tasks: Lead a team of data engineers to create and optimise data solutions.
- Company: Join Royal Canin, a leader in pet nutrition and analytics.
- Benefits: Competitive salary, bonuses, and top-notch learning opportunities.
- Other info: Collaborative environment with opportunities for career growth and community building.
- Why this job: Make a real impact in a data-driven organisation with innovative projects.
- Qualifications: 8+ years in engineering management, 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.
This role 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 modeling 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.
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-functional 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 the platform team; ensure incident management is defined and post-mortem practices are consistently applied; lead engineering perspective on DevOps practices and support models.
What can you expect from Mars?
- 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.
Senior Data Engineering Manager, Analytics Products in City of London employer: Mars
Contact Detail:
Mars Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineering Manager, Analytics Products in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, 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. Make sure you're comfortable discussing SQL, Python, and big data technologies like Spark. We want you to showcase your expertise and how you can lead a team to deliver high-quality data solutions.
✨Tip Number 3
Show off your leadership style! Be ready to share examples of how you've coached and developed engineering talent in the past. Highlight your experience in managing cross-functional teams and how you foster collaboration among diverse groups.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows you’re genuinely interested in being part of our community at Royal Canin, where we’re all about transforming into a data-driven organisation.
We think you need these skills to ace Senior Data Engineering Manager, Analytics Products in City of London
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: Your cover letter is your chance to shine! Use it to tell us why you're passionate about this role and how your background makes you the perfect fit. Don’t forget to mention your experience in building analytical products and your approach to coaching and mentoring teams.
Showcase Your Technical Skills: Since this role requires proficiency in SQL, Python, and big data technologies, make sure to include specific examples of how you've used these skills in past roles. This will help us see your technical prowess and how you can contribute to our data-driven agenda.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Mars
✨Know Your Data Engineering Fundamentals
Make sure you brush up on your 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 of how you've managed and developed teams in a cross-functional environment. Highlight your experience in coaching and mentoring engineers, as well as how you've fostered a strong community among your team members.
✨Understand the Business Context
Familiarise yourself with Royal Canin's business model and how data analytics plays a role in their strategy. Be prepared to discuss how you can balance technical needs with business objectives, ensuring that your engineering decisions align with the company's goals.
✨Emphasise Collaboration and Communication
Since this role involves working closely with product managers and analytics leaders, be ready to share examples of successful collaborations. Discuss how you've navigated ambiguity and built consensus among diverse stakeholders to drive projects forward.