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- Tasks: Manage data modelling and optimise pipelines while collaborating with diverse teams.
- Company: Leading property tech company in the UK with a supportive culture.
- Benefits: Generous leave, wellness programs, and a collaborative office environment.
- Why this job: Join a dynamic team and make an impact in the property technology sector.
- Qualifications: Strong SQL skills, experience with dbt, and familiarity with Tableau or PowerBI.
- Other info: Hybrid role based in the vibrant Tower Bridge area.
The predicted salary is between 60000 - 80000 £ per year.
A leading property technology company in the UK is seeking a Senior Analytics Engineer to manage data modeling and pipelines. This hybrid role involves optimizing data transformation while collaborating with both technical and non-technical stakeholders.
The ideal candidate will have strong SQL skills, experience with dbt, and familiarity with tools like Tableau and PowerBI.
Employees enjoy a supportive environment with generous leave, wellness programs, and a collaborative office setup in Tower Bridge.
Senior Analytics Engineer: Data Modelling & AI Pipelines employer: Zoopla
Contact Detail:
Zoopla Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Analytics Engineer: Data Modelling & AI Pipelines
✨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 or case studies that highlight your SQL prowess and experience with dbt, Tableau, and PowerBI. This will help us stand out during interviews.
✨Tip Number 3
Practice makes perfect! Mock interviews with friends or mentors can help us nail those tricky questions about data modelling and AI pipelines. Plus, it boosts our confidence!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we often have exclusive roles listed there that you won’t find anywhere else.
We think you need these skills to ace Senior Analytics Engineer: Data Modelling & AI Pipelines
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!
Talk About Your Experience with dbt: If you’ve worked with dbt, let us know! Share specific examples of how you’ve used it to optimise data transformation and improve workflows.
Collaborate Like a Pro: Since this role involves working with both technical and non-technical folks, give us examples of how you’ve successfully collaborated in the past. We love teamwork!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to get your application and ensure it reaches the right people!
How to prepare for a job interview at Zoopla
✨Know Your SQL Inside Out
Make sure you brush up on your SQL skills before the interview. Be prepared to discuss complex queries and data manipulation techniques, as these will likely come up. Practising real-world scenarios can help you demonstrate your expertise effectively.
✨Familiarise Yourself with dbt
Since experience with dbt is a key requirement, take some time to review its functionalities and best practices. You might be asked about how you've used dbt in past projects, so having specific examples ready will show your hands-on experience.
✨Showcase Your Data Visualisation Skills
With tools like Tableau and PowerBI being part of the role, prepare to discuss how you've used these platforms to create impactful visualisations. Bring along examples of your work or be ready to explain your design choices and the insights they provided.
✨Prepare for Stakeholder Collaboration Questions
This role involves working with both technical and non-technical stakeholders, so think about times you've successfully communicated complex data concepts to diverse audiences. Be ready to share specific instances where your collaboration made a difference in project outcomes.