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For Companies At a Glance
- Tasks: Lead a dynamic data team and innovate data functions daily.
- Company: Join a cutting-edge tech business focused on real estate data solutions.
- Benefits: Enjoy a hybrid work model and competitive salary up to £100k.
- Why this job: Be at the forefront of AI and Machine Learning in a vital industry.
- Qualifications: Experience with Python, AWS, Snowflake, Terraform, Kubernetes, and Tableau required.
- Other info: Perfect for those looking to step into a leadership role.
The predicted salary is between 60000 - 84000 £ per year.
Do you want to join a data team that is investing in technology and looking to innovate? Are you the sort of person who can help take data functions to the next level? Are you looking to step up into a Lead position? If the answer is yes then this tech business will be for you.
The product in for this business is data, meaning your department is the most important in the company. At the heart of this company is the data they sell, data from the real estate and property sector which is sold B2B to retailers, financial services, telecoms, utilities and more.
With advanced AI and Machine Learning models that make predictions that are very accurate, these businesses are getting ahead of their competition using this data. This will suit someone with experience of Python, AWS, Snowflake, Terraform, Kubernetes and Tableau.
Contact Detail:
First Achieve Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Engineer
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Python, AWS, and Snowflake. Having hands-on experience or projects showcasing your skills in these areas can set you apart from other candidates.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with real estate and property data. Attend industry meetups or webinars to connect with potential colleagues and learn more about the challenges they face.
✨Tip Number 3
Prepare to discuss how you've led teams or projects in the past. Highlight your leadership skills and ability to innovate within a data function, as this role is focused on taking data operations to the next level.
✨Tip Number 4
Research the company’s products and their impact on the B2B market. Understanding how their data solutions benefit clients in sectors like retail and finance will help you articulate your value during interviews.
We think you need these skills to ace Lead Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, AWS, Snowflake, Terraform, Kubernetes, and Tableau. Use specific examples of projects where you've successfully implemented these technologies.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Discuss how your skills can help take their data functions to the next level and mention any relevant leadership experience.
Showcase Your Achievements: When detailing your work experience, focus on quantifiable achievements. For instance, mention how your contributions improved data accuracy or efficiency in previous roles.
Research the Company: Familiarise yourself with the company's products and their impact on the real estate and property sector. This knowledge will help you tailor your application and demonstrate your genuine interest in the position.
How to prepare for a job interview at First Achieve Ltd
✨Showcase Your Technical Skills
Make sure to highlight your experience with Python, AWS, Snowflake, Terraform, Kubernetes, and Tableau during the interview. Be prepared to discuss specific projects where you utilised these technologies and how they contributed to successful outcomes.
✨Demonstrate Leadership Qualities
As a Lead Data Engineer, you'll need to show that you can guide a team effectively. Share examples of how you've led projects or mentored colleagues in the past, focusing on your ability to inspire and motivate others.
✨Understand the Business Context
Familiarise yourself with the real estate and property sector, as well as the B2B landscape. Being able to discuss how data impacts these industries will demonstrate your understanding of the company's core business and its importance.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges or case studies during the interview. Practice articulating your thought process clearly and logically, showcasing your analytical skills and ability to tackle complex data problems.
