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- Tasks: Join a dynamic team to build a centralized analytics platform using Snowflake.
- Company: Work with a leading Fintech client driving data transformation and innovation.
- Benefits: Enjoy competitive pay up to £650/day and flexible remote work options.
- Why this job: Be part of an exciting project that shapes the future of data analytics in finance.
- Qualifications: Experience with SQL, Snowflake, DBT, and Fivetran is essential; AWS knowledge is a plus.
- Other info: This is a 6-month contract with potential for extension.
The predicted salary is between 46800 - 65000 £ per year.
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Snowflake Data Engineer (Contract) – Outside IR35, Greater London
Client:
Eames Consulting
Location:
Greater London, United Kingdom
EU work permit required:
Yes
Job Reference:
7d35d28fe03a
Job Description:
Snowflake, DBT, Fivetran, SQL.
My Fintech client is at the beginning of a Data Transformation program. They are looking to bring multiple subsidiaries together under one banner from a data perspective and implement a centralized analytics platform in Snowflake.
The Snowflake platform will serve the business from an analytics and reporting perspective. For this contract, we need Data Engineers who have experience with:
- SQL Server
- Snowflake Datawarehouse
- Working with DBT for Data Modelling
- Fivetran for Data Ingestion and ETL
- AWS Cloud experience (Desirable)
This is a 6-month contract initially with the view to extend, with rates on offer up to £650 per day (Outside IR35) and up to 1 day per week in the London office required.
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Snowflake Data Engineer (Contract) - Outside IR35 employer: TN United Kingdom
Contact Detail:
TN United Kingdom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer (Contract) - Outside IR35
✨Tip Number 1
Make sure to showcase your experience with Snowflake and SQL in your conversations. Highlight specific projects where you've successfully implemented data solutions using these technologies.
✨Tip Number 2
Familiarize yourself with DBT and Fivetran, as these tools are crucial for the role. Consider discussing any relevant projects or use cases where you've utilized these tools effectively.
✨Tip Number 3
Since this role involves a data transformation program, be prepared to discuss your approach to integrating multiple data sources and how you ensure data quality and consistency.
✨Tip Number 4
Network with professionals in the Fintech space and join relevant online communities. This can help you gain insights into industry trends and potentially connect you with decision-makers at the company.
We think you need these skills to ace Snowflake Data Engineer (Contract) - Outside IR35
Some tips for your application 🫡
Highlight Relevant Experience: Make sure to emphasize your experience with Snowflake, SQL Server, DBT, and Fivetran in your CV and cover letter. Use specific examples of projects where you utilized these technologies.
Tailor Your Application: Customize your application to reflect the requirements mentioned in the job description. Mention your familiarity with data transformation programs and centralized analytics platforms.
Showcase Your Skills: In your cover letter, discuss your technical skills related to AWS Cloud and how they can benefit the client's data transformation goals. Even if it's not a primary requirement, it can set you apart.
Proofread Your Documents: Before submitting, carefully proofread your CV and cover letter for any errors or typos. A polished application reflects your attention to detail, which is crucial for a Data Engineer role.
How to prepare for a job interview at TN United Kingdom
✨Showcase Your Snowflake Expertise
Make sure to highlight your experience with Snowflake during the interview. Be prepared to discuss specific projects where you've implemented Snowflake solutions and how they benefited the organization.
✨Demonstrate SQL Proficiency
Since SQL is a key requirement, brush up on your SQL skills. Be ready to answer technical questions or even solve problems on the spot that demonstrate your ability to work with SQL Server effectively.
✨Familiarize Yourself with DBT and Fivetran
Understand how DBT and Fivetran fit into the data pipeline. Be prepared to discuss your experience with these tools and how you've used them for data modeling and ingestion in past projects.
✨Discuss Cloud Experience
While AWS experience is desirable, any cloud experience can be beneficial. Talk about your familiarity with cloud platforms and how you've leveraged them in data engineering tasks.
