At a Glance
- Tasks: Design and implement robust data pipelines using Azure and Snowflake.
- Company: Join a forward-thinking enterprise in Warwick with a collaborative atmosphere.
- Benefits: Competitive contract rate, flexible working, and potential for long-term engagement.
- Other info: Opportunity for career growth in a dynamic, innovative environment.
- Why this job: Be at the forefront of cloud data technology and make a significant impact.
- Qualifications: Experience with Azure, Snowflake, and strong ETL/ELT engineering skills.
This role requires strong hands-on capability across modern cloud data tooling, with a particular focus on Azure and Snowflake.
Key Skills Required:
- Azure data ecosystem
- Snowflake
- Prometheus
- Azure Data Factory (ADF)
- Python
- DBT
- ETL/ELT engineering
What They're Looking For:
A contractor who can operate autonomously, embed quickly into an enterprise environment, and deliver robust, production-ready data pipelines. Someone who can work across cloud, orchestration, monitoring, and transformation layers with confidence.
Engagement Details:
- Inside IR35
- 6-month rolling contract (expected long-term extension)
- Onsite in Warwick twice per week
Please send me a copy of your CV if you're interested.
Snowflake Data Architect - Contract in London employer: Jefferson Frank
As a Snowflake Data Architect with us, you'll join a dynamic team in Warwick that values innovation and collaboration. We offer a flexible work culture with opportunities for professional growth, ensuring you can enhance your skills while contributing to impactful projects. Our commitment to employee development and a supportive environment makes us an excellent employer for those seeking meaningful and rewarding work.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Architect - Contract in London
✨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 opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects with Azure Data Factory, Python, and ETL/ELT engineering. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of cloud data tooling and production-ready data pipelines. We recommend practising common interview questions related to Snowflake and Azure to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Snowflake Data Architect - Contract in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Azure and Snowflake. We want to see how your skills match the job description, so don’t be shy about showcasing your hands-on capabilities!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Mention specific projects where you've successfully delivered data pipelines or worked with cloud tools.
Showcase Relevant Projects:If you’ve worked on any relevant projects, make sure to include them in your application. We love seeing real-world examples of your work with ETL/ELT engineering and data orchestration.
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 this exciting opportunity!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Inside Out
Make sure you’re well-versed in the Azure data ecosystem and Snowflake. Brush up on your knowledge of Prometheus, Azure Data Factory, Python, DBT, and ETL/ELT engineering. Being able to discuss these tools confidently will show that you’re ready to hit the ground running.
✨Showcase Your Autonomy
Since they’re looking for someone who can operate autonomously, prepare examples from your past work where you successfully managed projects independently. Highlight how you embedded into previous teams and delivered results without needing constant supervision.
✨Demonstrate Problem-Solving Skills
Be ready to tackle hypothetical scenarios or case studies during the interview. Think about how you would approach building robust, production-ready data pipelines. This will demonstrate your critical thinking and technical skills in real-world applications.
✨Ask Insightful Questions
Prepare thoughtful questions about their current data architecture and challenges they face. This not only shows your interest in the role but also gives you a chance to assess if the company is the right fit for you. It’s a two-way street!
