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- Tasks: Develop data modelling infrastructures and automate data workflows.
- Company: Leading property tech company in Greater London with a collaborative culture.
- Benefits: Hybrid working environment, competitive salary, and supportive team.
- Other info: Proactive approach to data management is essential for success.
- Why this job: Make an impact by optimising data processes and collaborating with diverse teams.
- Qualifications: Strong SQL skills, experience with dbt, and data visualisation tools.
The predicted salary is between 60000 - 80000 £ per year.
A leading property technology company in Greater London is seeking a Senior Analytics Engineer to develop data modelling infrastructures and pipelines. You will work on automating and optimising data workflows while ensuring collaboration with technical and non-technical stakeholders.
Ideal candidates will have:
- Strong SQL skills
- Experience with dbt and data visualisation tools
- A proactive approach to data management
Join a hybrid working environment that values collaboration and support.
Senior Analytics Engineer: AI-Driven Data Modeling employer: Zoopla Ltd.
Contact Detail:
Zoopla Ltd. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer: AI-Driven Data Modeling
✨Tip Number 1
Network like a pro! Reach out to current employees at the company through LinkedIn or industry events. A friendly chat can give us insights into the company culture and maybe even a referral!
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data modelling projects, especially those involving SQL and dbt. This will help us demonstrate our expertise and stand out during interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help us refine our answers and boost our confidence. Focus on how we can automate and optimise data workflows in our responses.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, it shows that we’re genuinely interested in the role and the company.
We think you need these skills to ace Senior Analytics Engineer: AI-Driven Data Modeling
Some tips for your application 🫡
Show Off Your SQL Skills: Make sure to highlight your strong SQL skills in your application. We want to see how you've used SQL in past projects, so don’t hold back on the details!
Talk About Your Experience with dbt: If you’ve got experience with dbt, let us know! Share specific examples of how you’ve used it to develop data models or automate workflows. This will really help your application stand out.
Collaboration is Key: Since we value collaboration, mention any experiences where you’ve worked with both technical and non-technical stakeholders. Show us how you bridge the gap between different teams!
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and get to know you better!
How to prepare for a job interview at Zoopla Ltd.
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and how you've used SQL in past projects. Practising some real-world scenarios can help you articulate your thought process during the interview.
✨Showcase Your Data Modelling Experience
Be ready to talk about your experience with data modelling infrastructures and pipelines. Have specific examples from your previous roles where you automated or optimised data workflows. This will demonstrate your hands-on experience and proactive approach to data management.
✨Familiarise Yourself with dbt
Since dbt is a key tool for this role, make sure you understand its functionalities and best practices. If possible, prepare a mini-project or case study that showcases how you've used dbt to solve a problem or improve a process in your previous work.
✨Prepare for Collaboration Questions
Given the emphasis on collaboration with both technical and non-technical stakeholders, think of examples where you've successfully worked in cross-functional teams. Highlight your communication skills and how you adapt your approach based on your audience's technical understanding.