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 is essential; real estate experience is a plus.
- Other info: Opportunity to work on exciting projects with industry-leading technology.
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, and 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 Azure services, especially Azure Data Factory (ADF) and DBT. Having hands-on experience or projects showcasing your skills in these tools will make you stand out during discussions.
✨Tip Number 2
Network with professionals in the property tech sector. Attend industry meetups or webinars to connect with potential colleagues and learn about the latest trends and challenges in real estate data management.
✨Tip Number 3
Prepare to discuss specific examples of how you've created and maintained data pipelines in previous roles. Be ready to explain your problem-solving approach and how you collaborated with stakeholders to meet their data needs.
✨Tip Number 4
Research the company’s current projects and clients. Understanding their platform and how they integrate data solutions will help you tailor your conversations and demonstrate your genuine interest in the role.
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 collaboration with stakeholders.
Showcase Technical Skills: Clearly list your technical skills related to the job description, such as your proficiency in Azure Functions and data pipeline development. Use specific examples to demonstrate your expertise.
Highlight Collaborative Experience: Since the role involves working with analysts and stakeholders, include examples of past collaborations. Describe how you’ve successfully scoped and implemented data solutions in previous roles.
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 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 to understand data needs and implemented solutions, as this shows your teamwork and communication skills.
✨Prepare Questions
Have a few thoughtful questions ready about the company's data strategy and the specific challenges they face. This not only shows your interest but also helps you assess if the role is the right fit for you.