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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 cloud solutions.
- Benefits: Enjoy a hybrid work model with 50% remote flexibility and competitive pay.
- Why this job: Be part of an exciting project that enhances your skills and career in tech.
- 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 in Central 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 in Central 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 relevant projects to discuss can really set you apart during interviews.
✨Tip Number 2
Network with professionals in the data engineering field, especially those who work with cloud technologies. Engaging with industry groups on platforms like LinkedIn can help you gain insights and potentially get referrals.
✨Tip Number 3
Prepare for technical interviews by practising common data engineering problems and scenarios related to AWS and Snowflake. Being able to demonstrate your problem-solving skills will be crucial.
✨Tip Number 4
Showcase your understanding of hybrid working models and how you can effectively collaborate with teams both on-site and remotely. This is particularly important for roles that require a mix of in-person and remote work.
We think you need these skills to ace Data Engineers - AWS/Snowflake - London in Central 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 to demonstrate your skills and how they relate to the job description.
Craft a Compelling Cover Letter: Write a cover letter that explains why you are interested in this role and how your background makes you a great fit. Mention your experience with hybrid working patterns and your ability to work both on-site and remotely.
Highlight Relevant Projects: If you've worked on similar high-profile projects, be sure to mention them. Describe your role, the technologies used, and the outcomes achieved to showcase your expertise.
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 and professionalism.
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 Hybrid Work Model
Since the role is hybrid, demonstrate your ability to work effectively both on-site and remotely. Discuss how you manage your time and communication in a flexible work environment.
✨Prepare Questions for Them
Interviews are a two-way street. Prepare insightful questions about the company's projects, team dynamics, and expectations for the role. This shows your genuine interest in the position.
