At a Glance
- Tasks: Build automated data pipelines and enhance data quality for investment projects.
- Company: Join Intellect Group, a leader in real estate data solutions.
- Benefits: Earn £85,000 plus a 20% bonus, with onsite work in London.
- Other info: Collaborate with business stakeholders in a dynamic, fast-paced environment.
- Why this job: Make a real impact in the real estate sector with your data expertise.
- Qualifications: Strong Python and SQL skills, with 4+ years in data engineering.
The predicted salary is between 85000 - 102000 € per year.
Intellect Group is seeking a Senior Data Engineer to enhance data processes within their investment/acquisitions team in London. This role focuses on building automated data pipelines, improving data quality, and working closely with various business stakeholders.
The ideal candidate will have:
- Strong Python and SQL skills
- Experience with Snowflake and Airflow
- At least 4 years in data engineering
- A background in real estate or financial services (a plus)
This position is onsite in London, offering a salary of £85,000 plus a 20% bonus.
Senior Data Engineer – Real Estate Estate (Onsite London) employer: Intellect Group
Intellect Group is an exceptional employer that fosters a collaborative and innovative work culture, particularly for the Senior Data Engineer role in London. Employees benefit from competitive salaries, generous bonuses, and ample opportunities for professional growth within the dynamic real estate sector. The company's commitment to employee development and its vibrant London location make it an attractive choice for those seeking meaningful and rewarding careers.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer – Real Estate Estate (Onsite London)
✨Tip Number 1
Network like a pro! Reach out to current employees at Intellect Group on LinkedIn. 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 mini-project or case study that highlights your Python and SQL expertise. This will not only impress but also demonstrate your hands-on experience with data engineering.
✨Tip Number 3
Be ready for the technical interview! Brush up on your knowledge of Snowflake and Airflow. We recommend practising common data engineering problems to showcase your problem-solving skills.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we’re always looking for passionate candidates who are eager to make an impact in the real estate sector.
We think you need these skills to ace Senior Data Engineer – Real Estate Estate (Onsite London)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your Python and SQL skills, as well as your experience with Snowflake and Airflow. 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 passionate about data engineering and how your experience in real estate or financial services can add value to our team. Let us know what excites you about this role!
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data processes before. We love seeing candidates who can think critically and improve data quality, so share those success stories with us!
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications better and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at Intellect Group
✨Know Your Tech Stack
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss how you've used these technologies in past projects, especially in building automated data pipelines. Familiarity with Snowflake and Airflow will definitely give you an edge!
✨Understand the Business Context
Since this role is within the investment/acquisitions team, it’s crucial to understand how data impacts decision-making in real estate. Do some research on current trends in the industry and think about how your data engineering skills can enhance their processes.
✨Prepare for Stakeholder Interaction
You’ll be working closely with various business stakeholders, so be prepared to demonstrate your communication skills. Think of examples where you’ve successfully collaborated with non-technical teams to improve data quality or streamline processes.
✨Showcase Your Problem-Solving Skills
Be ready to tackle some technical challenges during the interview. Practice explaining your thought process when solving data-related problems. This will show them that you not only have the technical skills but also the analytical mindset needed for the role.
