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- Tasks: Build scalable data pipelines and enhance cloud data platforms.
- Company: Leading UK real estate company with a focus on innovation.
- Benefits: Competitive salary, health support, and professional development opportunities.
- Why this job: Join a dynamic team and drive impactful data strategies in real estate.
- Qualifications: Experience with Azure, Snowflake, and data ingestion required.
- Other info: Exciting opportunity for career growth in a fast-paced environment.
The predicted salary is between 36000 - 60000 £ per year.
A leading real estate company in the UK is looking for a Data Engineer to enhance their data platform and drive effective data strategies. This full-time position requires expertise in Azure, Snowflake, and data ingestion.
Key responsibilities include:
- Building data pipelines
- Ensuring reliable data access
- Collaborating with cross-functional teams
The role offers a competitive salary and extensive benefits, including health support and professional development opportunities.
Data Engineer: Build Scalable Cloud Data Platform in City of London employer: Jobster
Contact Detail:
Jobster Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer: Build Scalable Cloud Data Platform in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those working at the company you're eyeing. A friendly chat can open doors and give you insider info that could help you stand out.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and projects you've worked on. This is your chance to demonstrate your expertise in Azure and Snowflake, making it easier for employers to see what you bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on common data engineering questions. Think about how you can relate your experience to the role's responsibilities, like building scalable data platforms and collaborating with teams.
✨Tip Number 4
Don't forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Data Engineer: Build Scalable Cloud Data Platform in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Azure, Snowflake, and data ingestion. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Let us know what excites you about working in the real estate sector.
Showcase Your Problem-Solving Skills: In your application, give examples of how you've tackled challenges in building data pipelines or ensuring reliable data access. We love seeing candidates who can think critically and collaborate effectively with others.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Jobster
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure and Snowflake. Brush up on your knowledge of data ingestion techniques and be ready to discuss how you've used these technologies in past projects. The more specific examples you can provide, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced while building data pipelines or ensuring reliable data access. Think of a couple of scenarios where you had to troubleshoot issues and how you collaborated with others to find solutions. This will demonstrate your ability to work effectively in cross-functional teams.
✨Understand the Company’s Data Needs
Research the real estate company and their current data strategies. Familiarise yourself with their business model and think about how your skills can enhance their data platform. Showing that you understand their needs will set you apart from other candidates.
✨Ask Insightful Questions
Prepare some thoughtful questions to ask at the end of the interview. Inquire about their data strategy, team dynamics, or future projects. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you.
