At a Glance
- 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 programmes, and a collaborative office environment.
- Other info: Hybrid role based in the vibrant Tower Bridge area.
- 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.
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
- 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 in London employer: Zoopla
As a leading property technology company in the UK, we pride ourselves on fostering a supportive and collaborative work environment that empowers our employees to thrive. With generous leave policies, wellness programmes, and a dynamic office space in the vibrant Tower Bridge area, we offer not just a job, but a meaningful career path with ample opportunities for professional growth and development.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer: Data Modelling & AI Pipelines in London
✨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 and AI pipelines. This will help us demonstrate our expertise in SQL, dbt, and visualisation tools like Tableau and PowerBI.
✨Tip Number 3
Practice makes perfect! Get ready for those interviews by brushing up on common technical questions related to data transformation and stakeholder collaboration. We want to show that we can communicate effectively with both techies and non-techies.
✨Tip Number 4
Apply through our website! It’s the best way to ensure our application gets noticed. Plus, we can tailor our submission to highlight how we fit the role perfectly.
We think you need these skills to ace Senior Analytics Engineer: Data Modelling & AI Pipelines in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your SQL skills and experience with dbt, Tableau, and PowerBI. We want to see how your background aligns with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the role and how you can contribute to our team. Remember, we love collaboration, so mention any experiences working with both technical and non-technical stakeholders.
Showcase Your Problem-Solving Skills:In your application, highlight specific examples where you've optimised data transformation or tackled complex data modelling challenges. We’re looking for someone who can think critically and creatively, so let us see your thought process!
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 don’t miss out on any important updates. Plus, we love seeing applications come in through our own channels!
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 this role involves managing data pipelines, it’s crucial to have a solid understanding of dbt. Review its features and be ready to explain how you've used it in past projects. Showing that you can optimise data transformation processes will impress your interviewers.
✨Prepare for Stakeholder Collaboration Questions
This position requires working with both technical and non-technical stakeholders. Think of examples from your previous roles where you successfully communicated complex data concepts to non-technical team members. This will showcase your ability to bridge the gap between different teams.
✨Showcase Your Visualisation Skills
With tools like Tableau and PowerBI being part of the job, be ready to discuss your experience with data visualisation. Bring along examples of dashboards or reports you've created, and be prepared to explain your design choices and how they benefited the end-users.
