Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build scalable data infrastructure and automate workflows for high-quality data ingestion.
- Company: Leading PropTech company in Greater London with a focus on innovation.
- Benefits: Competitive compensation and growth opportunities in a global expansion.
- Why this job: Join a dynamic team and make an impact in the evolving PropTech industry.
- Qualifications: Strong experience in data engineering, SQL, Snowflake, and Python.
- Other info: Collaborative environment with a focus on professional development.
The predicted salary is between 48000 - 72000 £ per year.
A leading PropTech company in greater London is seeking a Senior Data Engineer to build scalable, automated data infrastructure, ensuring high-quality ingestion and robust pipelines. The ideal candidate has strong experience in data engineering, proficient in SQL, Snowflake, and Python.
Responsibilities include:
- Designing data ingestion pipelines
- Automating workflows
- Collaborating with a small team
This role offers competitive compensation and opportunities for growth within the company's global expansion.
Senior Data Engineer: Scale Pipelines AWS/Snowflake employer: Immersum
Contact Detail:
Immersum Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer: Scale Pipelines AWS/Snowflake
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at PropTech companies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data engineering projects, especially those involving SQL, Snowflake, and Python. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your past projects and how you tackled challenges, as this will help you stand out during the interview process.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented folks like you. Plus, it’s a great way to ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data Engineer: Scale Pipelines AWS/Snowflake
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with SQL, Snowflake, and Python. We want to see how your skills align with the role of a Senior Data Engineer, so don’t hold back on showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about building scalable data infrastructure and how your previous experiences have prepared you for this role. We love a good story!
Showcase Your Team Spirit: Collaboration is key in our small team. Highlight any past experiences where you’ve worked closely with others to design or automate workflows. We want to know how you contribute to a positive team dynamic!
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 from our team!
How to prepare for a job interview at Immersum
✨Know Your Tech Stack
Make sure you brush up on your SQL, Snowflake, and Python skills before the interview. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Pipeline Experience
Prepare to talk about your experience in designing and building data ingestion pipelines. Have examples ready that demonstrate your ability to create scalable and automated solutions, as this is a key responsibility for the role.
✨Collaboration is Key
Since you'll be working with a small team, be prepared to discuss how you collaborate with others. Share examples of successful teamwork and how you’ve contributed to a positive team dynamic in past roles.
✨Ask Insightful Questions
At the end of the interview, don’t forget to ask questions! Inquire about the company’s data strategy, future projects, or how they measure success in their data engineering team. This shows your genuine interest in the role and helps you assess if it’s the right fit for you.
