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- Tasks: Join a dynamic team to build data platforms and prepare clients for AI and automation.
- Company: A fast-growing boutique consultancy with high-profile clients and exciting projects.
- Benefits: Enjoy remote work flexibility and the chance to work with cutting-edge technologies.
- Why this job: Be part of a thriving start-up culture that values innovation and collaboration.
- Qualifications: Experience with Snowflake, Python, dbt, SQL, and strong communication skills required.
- Other info: Interviews are ongoing, so seize this opportunity to shape your career!
The predicted salary is between 46800 - 78000 £ per year.
Company Overview: My client is a start-up, boutique consultancy who are looking to continue their early success through growing out their team massively. They have already begun working with high profile clients in a range of industries and established a strong project pipeline, which continues to grow through referrals.
Role Overview: They are looking for a technically skilled data engineer to join their delivery team. This person will build data platforms, integrate it with clients, and move towards getting clients AI and automation ready. You will work with Snowflake, dbt, Python, and SQL.
Requirements:
- Snowflake
- Python
- dbt
- SQL
- Communication Skills
Nice to Have:
- AWS
- AI Exposure
Interviews ongoing, don't miss your chance to secure the future of your career!
Data Engineer - Snowflake - £65,000 - Remote employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
j.shaw-bollands@tenthrevolution.com
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Snowflake - £65,000 - Remote
✨Tip Number 1
Familiarise yourself with Snowflake and its features. Since this role heavily relies on Snowflake, understanding its architecture and capabilities will give you an edge during discussions with the interviewers.
✨Tip Number 2
Brush up on your Python skills, especially in data manipulation and ETL processes. Being able to demonstrate your proficiency in Python during technical interviews can significantly boost your chances.
✨Tip Number 3
Prepare to discuss your experience with dbt and how you've used it in previous projects. Highlighting specific examples of how you've built data models or transformed data can showcase your practical knowledge.
✨Tip Number 4
Since communication skills are a requirement, practice explaining complex technical concepts in simple terms. This will help you convey your ideas clearly during the interview and demonstrate your ability to work with clients.
We think you need these skills to ace Data Engineer - Snowflake - £65,000 - Remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, Python, dbt, and SQL. Use specific examples of projects where you've successfully implemented these technologies to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly in building data platforms and preparing clients for AI and automation.
Showcase Communication Skills: Since communication skills are a requirement, include examples in your application that illustrate your ability to convey complex technical information clearly and effectively, especially in a consultancy context.
Highlight Relevant Projects: If you have experience with AWS or AI, even if it's not a requirement, mention it in your application. This can set you apart from other candidates and show your versatility in the field.
How to prepare for a job interview at Jefferson Frank
✨Showcase Your Technical Skills
Make sure to highlight your experience with Snowflake, Python, dbt, and SQL during the interview. Prepare specific examples of projects where you've successfully used these technologies to solve problems or improve processes.
✨Demonstrate Communication Skills
Since communication is key in consultancy roles, practice explaining complex technical concepts in simple terms. Be ready to discuss how you’ve effectively communicated with clients or team members in past projects.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving abilities. Think about scenarios where you had to build data platforms or integrate systems, and be prepared to explain your thought process and the outcomes.
✨Research the Company and Its Clients
Familiarise yourself with the company’s background and its high-profile clients. Understanding their industries and challenges can help you tailor your responses and show genuine interest in the role and the company.
