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- Tasks: Lead a data team to innovate and enhance data functions.
- Company: Join a tech business focused on real estate data solutions.
- Benefits: Enjoy a hybrid work model and competitive salary up to £90k.
- Why this job: Be at the forefront of data technology with impactful AI and Machine Learning projects.
- Qualifications: Experience with Python, AWS, Snowflake, Terraform, Kubernetes, and Tableau required.
- Other info: Perfect for those looking to step into a leadership role.
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.
Lead Data Engineer employer: First Achieve Ltd
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. Consider building a small project or contributing to open-source projects that utilise these tools to showcase your skills.
✨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 latest trends and challenges in the sector.
✨Tip Number 3
Prepare to discuss your leadership experience and how you've successfully managed teams or projects in the past. Think of specific examples where you’ve driven innovation or improved processes, as this will be crucial for a Lead position.
✨Tip Number 4
Research the company’s products and their applications in the B2B market. Understanding how their data solutions benefit clients in various sectors will help you articulate your value during interviews and demonstrate your genuine interest in the role.
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 Data Expertise: Include any relevant certifications or training in data engineering, AI, or machine learning. This will demonstrate your commitment to staying updated in the field and your ability to innovate.
Prepare for Technical Questions: Anticipate technical questions related to the tools and technologies mentioned in the job description. Be ready to discuss your problem-solving approach and past experiences in detail during the interview process.
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 lead a team effectively. Share examples of how you've mentored others or led projects in the past. Emphasise your ability to inspire and motivate your team to achieve their goals.
✨Understand the Business Context
Familiarise yourself with the company's focus on data from the real estate and property sector. Be ready to discuss how data can drive business decisions and provide value to clients in various industries, such as retail and financial services.
✨Prepare for Problem-Solving Questions
Expect to face technical challenges or case studies during the interview. Practice articulating your thought process when solving complex data problems, and be ready to explain your approach to using AI and Machine Learning models effectively.
