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- Tasks: Design and implement robust data pipelines using Azure and Snowflake.
- Company: Leading data consultancy in the UK with a focus on innovation.
- Benefits: Competitive pay, flexible working arrangements, and hands-on experience.
- Why this job: Join a dynamic team and enhance your skills in a fast-paced environment.
- Qualifications: Strong hands-on experience with Azure and Snowflake required.
- Other info: Onsite work in Warwick twice a week for collaborative project delivery.
The predicted salary is between 48000 - 72000 £ per year.
A leading data consultancy in the UK is seeking a Data Architect for a 6-month rolling contract, requiring strong hands-on skills in Azure and Snowflake. The contractor will be involved in delivering robust, production-ready data pipelines and must work onsite in Warwick twice a week. Ideal candidates should be autonomous and able to quickly adapt to an enterprise environment, contributing effectively across various cloud and data tooling aspects.
Snowflake Data Architect — Azure Data Pipelines (Onsite) employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Architect — Azure Data Pipelines (Onsite)
✨Tip Number 1
Network like a pro! Reach out to your connections in the data space, especially those who work with Azure and Snowflake. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. This is your chance to demonstrate your hands-on experience and make a lasting impression on potential employers.
✨Tip Number 3
Prepare for interviews by brushing up on common questions related to Azure and Snowflake. We recommend practising your responses to technical scenarios, as this will help you feel more confident when discussing your expertise.
✨Tip Number 4
Don’t forget to apply through our website! It’s the easiest way to get your application noticed. Plus, we love seeing candidates who take the initiative to connect directly with us.
We think you need these skills to ace Snowflake Data Architect — Azure Data Pipelines (Onsite)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your hands-on experience with Azure and Snowflake. We want to see how you've delivered robust data pipelines in the past, so don’t hold back on those details!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you're the perfect fit for this role and how your skills can contribute to our projects. Keep it engaging and relevant to the job description.
Showcase Your Autonomy: Since we’re looking for someone who can work independently, share examples of when you’ve taken the lead on projects or adapted quickly to new environments. This will help us see your potential!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Inside Out
Make sure you’re well-versed in Azure and Snowflake. Brush up on your hands-on skills and be ready to discuss specific projects where you've built data pipelines. The more examples you can provide, the better!
✨Show Your Adaptability
Since the role requires quick adaptation to an enterprise environment, prepare to share experiences where you’ve successfully navigated changes or challenges in past roles. Highlight your ability to learn and adjust on the fly.
✨Demonstrate Autonomy
This position calls for someone who can work independently. Be ready to discuss how you manage your time and projects without constant supervision. Share examples of when you took the initiative to solve problems or improve processes.
✨Engage with the Team Spirit
Even though you’ll be working autonomously, collaboration is key. Prepare to talk about how you’ve worked effectively with teams in the past, especially in cloud and data tooling contexts. Show that you can contribute positively to a team dynamic.
