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- Tasks: Lead a team to manage data pipelines and enhance data platforms.
- Company: Global leader in pet nutrition based in London.
- Benefits: Competitive salary and comprehensive benefits package.
- Why this job: Join a passionate team and make a difference in pet nutrition through data.
- Qualifications: 5-10 years in data engineering with strong SQL and Python skills.
- Other info: Opportunity for career growth in a dynamic industry.
The predicted salary is between 43200 - 72000 £ per year.
A global leader in pet nutrition in London is seeking a Data Engineering Lead to oversee the data engineering team. Responsibilities include managing data pipelines, ensuring data quality standards, and enhancing data platforms.
The ideal candidate should have 5-10 years in data engineering, strong SQL and Python skills, and experience with cloud platforms like Azure.
This full-time position offers competitive salary and benefits.
Data Platform & Engineering Lead in England employer: Royal Canin
Contact Detail:
Royal Canin Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Platform & Engineering Lead in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field and let them know you're on the hunt for a new role. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best projects, especially those involving SQL, Python, and cloud platforms like Azure. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past experiences with managing data pipelines and ensuring data quality standards, as these are key aspects of the role.
✨Tip Number 4
Don't forget to apply through our website! We make it super easy for you to submit your application and get noticed. Plus, it shows you're genuinely interested in joining our team at StudySmarter.
We think you need these skills to ace Data Platform & Engineering Lead in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering, especially with SQL and Python. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how your background makes you a perfect fit for our team. Let us know what excites you about working with data platforms.
Showcase Your Cloud Experience: Since we’re looking for someone with cloud platform experience, make sure to mention any work you've done with Azure or similar technologies. We love seeing how you’ve leveraged these tools to enhance data quality and efficiency.
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’s super easy – just follow the prompts!
How to prepare for a job interview at Royal Canin
✨Know Your Data Inside Out
Make sure you brush up on your data engineering knowledge, especially around managing data pipelines and ensuring data quality. Be ready to discuss specific projects where you've implemented these skills, as it shows your hands-on experience.
✨Show Off Your SQL and Python Skills
Prepare to demonstrate your proficiency in SQL and Python during the interview. You might be asked to solve a problem or optimise a query, so practice common scenarios and be ready to explain your thought process.
✨Familiarise Yourself with Cloud Platforms
Since the role requires experience with cloud platforms like Azure, make sure you can talk about your experience with them. Highlight any projects where you've used Azure to enhance data platforms, and be prepared to discuss the benefits of using cloud solutions.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with questions that show your interest in the company and the role. Ask about the team dynamics, current challenges they face in data engineering, or how they measure success in this position.
