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- Tasks: Join a dynamic team to build data platforms and intelligent solutions for high-profile clients.
- Company: A growing consultancy known for its impactful work across various sectors.
- Benefits: Enjoy remote work flexibility and the chance to work with cutting-edge technologies.
- Why this job: Perfect for those who thrive in fast-paced environments and want to make a real impact.
- Qualifications: Experience with Snowflake, dbt, Python, and SQL is essential; must be a UK resident.
- Other info: Permanent role; background checks may be required.
The predicted salary is between 46800 - 78000 £ per year.
My client, a growing, high-impact consultancy is looking for a hands-on Data Engineer to join its expert team. Working across a mix of exciting, high-profile clients in various different sectors. You will join their expanding team to build robust platforms and create intelligent solutions.
If you thrive in fast-paced environments, enjoy variety in your work, and want to build meaningful data products using Snowflake, dbt, Python, and SQL, this role is for you.
Requirements:- Experience designing and building scalable data pipelines using Snowflake, dbt, and Python
- Proven experience as a Data Engineer or Analytics Engineer
- Great knowledge of Snowflake
- SQL optimization and warehouse design experience
- Strong Python skills for scripting, orchestration, and data manipulation
Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.
Data Engineer employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, such as Snowflake, dbt, and Python. Consider building a small project or contributing to open-source projects that utilise these technologies to showcase your hands-on experience.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with high-impact consultancies. Attend relevant meetups or webinars to connect with potential colleagues and learn more about the industry trends and challenges.
✨Tip Number 3
Prepare for technical interviews by practising common data engineering problems and scenarios. Focus on SQL optimisation and data pipeline design questions, as these are likely to come up during the interview process.
✨Tip Number 4
Showcase your ability to thrive in fast-paced environments by highlighting relevant experiences in your discussions. Be ready to share examples of how you've successfully managed multiple projects or adapted to changing requirements in previous roles.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, dbt, Python, and SQL. Use specific examples of projects where you've designed and built scalable data pipelines 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 and provide examples of how you've thrived in fast-paced environments.
Showcase Relevant Projects: If you have any relevant projects or case studies, consider including them as part of your application. This could be links to GitHub repositories or detailed descriptions of your work that showcase your technical skills.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
How to prepare for a job interview at Tenth Revolution Group
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake, dbt, Python, and SQL in detail. Bring examples of projects where you've designed and built scalable data pipelines, as this will demonstrate your hands-on expertise.
✨Understand the Company and Its Clients
Research the consultancy and its high-profile clients. Understanding their sectors and challenges will allow you to tailor your answers and show how your skills can add value to their projects.
✨Prepare for Problem-Solving Questions
Expect technical questions that assess your problem-solving abilities. Practice explaining your thought process clearly, as this will help interviewers gauge your analytical skills and approach to challenges.
✨Demonstrate Adaptability
Since the role involves working in fast-paced environments, be ready to share examples of how you've adapted to changing requirements or tackled unexpected issues in previous roles. This will highlight your flexibility and resilience.