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- Tasks: Transform data insights into actionable intelligence and maintain SQL data scripts.
- Company: Leading food technology company in the UK with a focus on innovation.
- Benefits: Diverse benefits focused on employee welfare in a dynamic environment.
- Why this job: Make a real impact by collaborating with data scientists and enhancing data insights.
- Qualifications: 6+ years in analytics or data engineering with excellent SQL skills.
- Other info: Join a dynamic team with opportunities for professional growth.
The predicted salary is between 48000 - 72000 £ per year.
A leading food technology company in the United Kingdom is seeking an experienced Analytics Engineer to transform data insights into actionable intelligence. The role involves maintaining SQL data scripts and collaborating with data scientists to provide intuitive datasets in Looker.
Ideal candidates will have 6+ years in analytics or data engineering, along with excellent SQL skills and a strong understanding of data warehousing. This position offers diverse benefits focused on employee welfare in a dynamic environment.
Senior Analytics Engineer: Data Warehouse & Looker Lead in City of London employer: Deliveroo
Contact Detail:
Deliveroo Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer: Data Warehouse & Looker Lead in City of London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working at companies you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your SQL scripts and any Looker dashboards you've built. This tangible evidence of your expertise can really impress potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common analytics scenarios. Think about how you would approach data challenges and be ready to discuss your past experiences in detail. We want to see your problem-solving skills in action!
✨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 connect directly with us.
We think you need these skills to ace Senior Analytics Engineer: Data Warehouse & Looker Lead in City of London
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your SQL expertise in your application. We want to see how you've used SQL in past projects, so don’t hold back on the details!
Tailor Your Experience: When writing your application, connect your experience directly to the role. We’re looking for someone with 6+ years in analytics or data engineering, so make it clear how your background fits the bill.
Collaborate and Communicate: Since this role involves working closely with data scientists, mention any collaborative projects you've been part of. We love seeing how you can work as part of a team to deliver insights!
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity.
How to prepare for a job interview at Deliveroo
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss your experience with SQL data scripts and how you've used them to solve real-world problems. Practising common SQL queries and understanding data manipulation will give you a solid edge.
✨Showcase Your Data Warehousing Knowledge
Since this role heavily involves data warehousing, be ready to talk about your previous projects. Highlight specific examples where you've designed or maintained data warehouses, and explain how your contributions led to improved data insights. This will demonstrate your hands-on experience and expertise.
✨Familiarise Yourself with Looker
As Looker is a key part of the role, take some time to explore its features and functionalities. If possible, create a sample dashboard or report to showcase during the interview. This practical demonstration can set you apart and show your proactive approach to learning new tools.
✨Collaborative Mindset is Key
This position requires collaboration with data scientists, so be prepared to discuss your teamwork experiences. Share examples of how you've worked effectively in cross-functional teams, and emphasise your communication skills. Companies value candidates who can bridge the gap between technical and non-technical stakeholders.
