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- Tasks: Join a high-profile project as a Data Engineer, working with Snowflake, Python, and AWS.
- Company: Cloud Consulting is a leading firm known for innovative tech solutions.
- Benefits: Enjoy a hybrid work model: 50% on-site in London and 50% remote.
- Why this job: Be part of an exciting project that enhances your skills and career prospects.
- Qualifications: Experience with Snowflake, Python, AWS, and data engineering principles required.
- Other info: This role is inside IR35, ensuring compliance with tax regulations.
The predicted salary is between 43200 - 72000 £ per year.
Cloud Consulting has an urgent requirement for a number of data engineers to join a high-profile project for a leading company. The role is inside IR35 and is a hybrid working pattern - 50% on-site in London and 50% remote.
Tech stack:
- Snowflake
- Python
- AWS
- DBT
- Airflow
If you are interested, then please forward a copy of your C.V in the first instance.
Data Engineers - AWS/Snowflake - London employer: Cloud Consulting (Europe) Ltd
Contact Detail:
Cloud Consulting (Europe) Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineers - AWS/Snowflake - London
✨Tip Number 1
Familiarise yourself with the specific technologies mentioned in the job description, such as Snowflake, Python, and AWS. Having hands-on experience or projects that showcase your skills in these areas will make you stand out during the interview process.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who have experience with cloud consulting. Attend meetups or webinars related to AWS and Snowflake to gain insights and potentially connect with someone from our team.
✨Tip Number 3
Prepare for technical interviews by practising common data engineering problems and scenarios. Focus on how to optimise data pipelines and work with tools like Airflow, as these are crucial for the role.
✨Tip Number 4
Showcase your understanding of hybrid working environments in your discussions. Be ready to discuss how you manage your time and productivity when working both on-site and remotely, as this is a key aspect of the role.
We think you need these skills to ace Data Engineers - AWS/Snowflake - London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience with Snowflake, Python, AWS, DBT, and Airflow. Use specific examples of projects you've worked on that demonstrate your skills in these areas.
Craft a Compelling Cover Letter: Write a cover letter that explains why you're interested in the Data Engineer position and how your background aligns with the requirements. Mention your familiarity with hybrid working patterns and your ability to work both on-site and remotely.
Highlight Relevant Projects: In your application, include details about any high-profile projects you've been involved in, especially those related to data engineering. This will show your capability to handle significant responsibilities.
Proofread Your Application: Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a data engineering role.
How to prepare for a job interview at Cloud Consulting (Europe) Ltd
✨Know Your Tech Stack
Make sure you're well-versed in Snowflake, Python, AWS, DBT, and Airflow. Be prepared to discuss your experience with these technologies and how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Data engineering often involves troubleshooting and optimising data pipelines. Be ready to share specific examples of challenges you've faced and how you resolved them.
✨Understand the Company’s Needs
Research the leading company you'll be working with. Understand their business model and how data engineering plays a role in their success. This will help you tailor your answers to their specific needs.
✨Prepare for Behavioural Questions
Expect questions about teamwork, communication, and project management. Think of examples that demonstrate your ability to work collaboratively, especially in a hybrid environment.
