At a Glance
- Tasks: Create and maintain data pipelines for a cutting-edge property tech platform.
- Company: Join a leading property tech client revolutionising the real estate industry.
- Benefits: Enjoy flexible working options and a collaborative team environment.
- Why this job: Be part of an innovative team making a real impact in property management.
- Qualifications: Experience with SQL, Azure ADF, and DBT; real estate sector experience is a plus.
- Other info: Opportunity to work with top-tier clients and enhance your data engineering skills.
The predicted salary is between 36000 - 60000 £ per year.
Our leading property tech client is looking for a data engineer to help with the implementation of new clients into a new platform. You will be responsible for creating and maintaining data pipelines, ensuring the smooth operation of data workflows, and providing analytical support to various departments.
Any experience working within the property/real estate sector would be a huge bonus, especially if you have worked with property management systems (QUBE / Yardi).
- Design, develop, and maintain scalable data pipelines using SQL, Azure ADF, Azure Functions, DBT.
- Collaborate with analysts and stakeholders to understand their data needs, scoping and implementing solutions.
Data Engineer (Real Estate) - Azure/ADF/DBT employer: WSS Associates
Contact Detail:
WSS Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Real Estate) - Azure/ADF/DBT
✨Tip Number 1
Familiarise yourself with the specific data tools mentioned in the job description, such as Azure ADF and DBT. Having hands-on experience or even completing relevant online courses can give you a significant edge during interviews.
✨Tip Number 2
Network with professionals in the property tech sector. Attend industry meetups or webinars to connect with potential colleagues and learn more about the challenges they face, which can help you tailor your discussions during the interview.
✨Tip Number 3
Showcase any previous experience you have with property management systems like QUBE or Yardi. If you don’t have direct experience, consider discussing similar projects or transferable skills that demonstrate your ability to adapt to new systems.
✨Tip Number 4
Prepare to discuss how you approach collaboration with analysts and stakeholders. Think of examples where you successfully scoped and implemented data solutions, as this will highlight your teamwork and problem-solving skills.
We think you need these skills to ace Data Engineer (Real Estate) - Azure/ADF/DBT
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data engineering, particularly with SQL, Azure ADF, and DBT. If you have worked in the property or real estate sector, emphasise that experience to stand out.
Craft a Compelling Cover Letter: In your cover letter, explain why you're interested in the role and how your skills align with the job requirements. Mention any specific projects or experiences related to data pipelines and property management systems like QUBE or Yardi.
Showcase Your Technical Skills: Include a section in your application that details your technical skills, especially those related to Azure, data workflows, and analytical support. Use specific examples of how you've implemented solutions in previous roles.
Highlight Collaboration Experience: Since the role involves collaborating with analysts and stakeholders, provide examples of past teamwork. Describe how you’ve successfully scoped and implemented data solutions based on stakeholder needs.
How to prepare for a job interview at WSS Associates
✨Showcase Your Technical Skills
Be prepared to discuss your experience with SQL, Azure ADF, Azure Functions, and DBT in detail. Highlight specific projects where you've designed and maintained data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Real Estate Sector
If you have experience in the property or real estate sector, make sure to mention it. Familiarity with property management systems like QUBE or Yardi can set you apart, so be ready to discuss how your background aligns with their needs.
✨Collaboration is Key
Emphasise your ability to work with analysts and stakeholders. Prepare examples of how you've successfully collaborated in the past to understand data needs and implement effective solutions, as teamwork is crucial for this role.
✨Prepare Questions
Have a few insightful questions ready about the company's data strategy and the specific challenges they face. This shows your genuine interest in the role and helps you assess if it's the right fit for you.