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- Tasks: Develop and optimise data pipelines using Snowflake and cloud technologies.
- Company: Forward-thinking organisation in financial services with a focus on innovation.
- Benefits: Hybrid working, competitive salary, 10% bonus, pension contributions, and annual leave.
- Why this job: Join a dynamic team and enhance your skills in cutting-edge data technologies.
- Qualifications: Strong SQL and programming skills, plus experience in data warehousing.
- Other info: Great career growth opportunities in a supportive environment.
The predicted salary is between 36000 - 60000 £ per year.
A forward-thinking organisation in financial services seeks a Data Engineer to develop and optimise data pipelines using Snowflake and cloud technologies. The role involves designing scalable ETL/ELT processes and improving data capabilities with AWS and Azure.
Ideal candidates will have strong SQL and programming skills, along with experience in data warehousing and real-time data processing.
This opportunity offers hybrid working, career growth, and a comprehensive benefits package including a 10% bonus, pension contributions, and annual leave.
Snowflake Data Engineer - Hybrid/Remote Cloud Platform in Milton Keynes employer: Ignite Digital
Contact Detail:
Ignite Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer - Hybrid/Remote Cloud Platform in Milton Keynes
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those already working with Snowflake or cloud technologies. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, ETL/ELT processes, and any projects using AWS or Azure. This gives potential employers a taste of what you can do beyond just a CV.
✨Tip Number 3
Prepare for interviews by brushing up on SQL and programming challenges. We recommend practicing common data engineering problems and being ready to discuss your thought process during the interview.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Snowflake Data Engineer - Hybrid/Remote Cloud Platform in Milton Keynes
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, AWS, and Azure. We want to see how your skills match the job description, so don’t be shy about showcasing your SQL and programming prowess!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about this role and how your background in data engineering makes you a perfect fit for our team at StudySmarter.
Showcase Your Projects: If you've worked on any relevant projects, whether in a professional setting or as personal endeavours, include them! We love seeing real-world applications of your skills, especially in data warehousing and ETL/ELT processes.
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 in our forward-thinking organisation!
How to prepare for a job interview at Ignite Digital
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Understand its architecture, features, and how it integrates with AWS and Azure. Be ready to discuss specific projects where you've used Snowflake to optimise data pipelines.
✨Show Off Your SQL Skills
Prepare to demonstrate your SQL prowess. You might be asked to solve problems or write queries on the spot, so practice common SQL scenarios related to data warehousing and real-time processing. Having examples from your past work can really set you apart.
✨Talk About ETL/ELT Processes
Be ready to dive into your experience with ETL and ELT processes. Discuss the tools you've used, the challenges you've faced, and how you've designed scalable solutions. This shows that you not only understand the theory but have practical experience too.
✨Ask Insightful Questions
Interviews are a two-way street, so prepare some thoughtful questions about the company's data strategy and future projects. This not only shows your interest in the role but also helps you gauge if the company is the right fit for you.
