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- Tasks: Lead data transformation projects by building pipelines and models using Snowflake, ADF, and DBT.
- Company: Join a prestigious wealth management fund known for its innovative approach to data solutions.
- Benefits: Enjoy a competitive salary of £60,000 plus bonuses and opportunities for professional growth.
- Why this job: Be part of a top-tier team and make a real impact in the world of finance and data.
- Qualifications: Expertise in Snowflake, SQL, and experience with DevOps practices required.
- Other info: This role offers a unique chance to work within the Azure cloud platform.
The predicted salary is between 42000 - 84000 £ per year.
Expert with Snowflake? This Wealth management fund are looking for someone to guide their data transformation/ migration projects by:
- Building data pipelines and data models in a core technology stack of Snowflake, ADF and DBT.
- Utilising SQL
- Engaging with DevOps practices including CI/CD workflows.
- Designing, building, deploying, and supporting cloud-based data products and solutions within the Azure cloud platform.
This is a chance to move into one of the most prestigious wealth management funds in the world. If this sounds like you – get in touch.
Snowflake Data Engineer - £60,000 bonus employer: Saragossa
Contact Detail:
Saragossa Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer - £60,000 bonus
✨Tip Number 1
Make sure to showcase your expertise in Snowflake during the interview. Be prepared to discuss specific projects where you've built data pipelines and models, as well as any challenges you faced and how you overcame them.
✨Tip Number 2
Familiarize yourself with Azure cloud services and be ready to explain how you've utilized them in past projects. Highlight any experience you have with CI/CD workflows, as this is crucial for the role.
✨Tip Number 3
Engage with the company's culture and values. Research their approach to wealth management and be prepared to discuss how your skills align with their mission and goals.
✨Tip Number 4
Network with current or former employees of the wealth management fund. This can provide valuable insights into the company and help you tailor your approach during the application process.
We think you need these skills to ace Snowflake Data Engineer - £60,000 bonus
Some tips for your application 🫡
Highlight Your Snowflake Expertise: Make sure to emphasize your experience with Snowflake in your CV and cover letter. Provide specific examples of projects where you built data pipelines or models using Snowflake.
Showcase SQL Proficiency: Include details about your SQL skills, particularly how you've utilized SQL in previous roles. Mention any complex queries or optimizations you've implemented.
Engage with DevOps Practices: Discuss your familiarity with DevOps practices, especially CI/CD workflows. Highlight any tools or processes you've used to streamline deployment and integration.
Demonstrate Cloud Experience: Since the role involves Azure, be sure to mention any relevant experience you have with cloud-based solutions. Describe how you've designed or supported cloud products in past positions.
How to prepare for a job interview at Saragossa
✨Showcase Your Snowflake Expertise
Be prepared to discuss your experience with Snowflake in detail. Highlight specific projects where you've built data pipelines and models, and be ready to explain the challenges you faced and how you overcame them.
✨Demonstrate SQL Proficiency
Since SQL is a core requirement for this role, brush up on your SQL skills. Be ready to solve problems or answer questions related to SQL queries during the interview to showcase your technical abilities.
✨Engage with DevOps Practices
Familiarize yourself with CI/CD workflows and how they apply to data engineering. Be prepared to discuss how you've implemented these practices in past projects and how they can benefit the team's workflow.
✨Understand Azure Cloud Platform
Since the role involves working within the Azure cloud platform, make sure you understand its services and how they integrate with Snowflake. Discuss any relevant experience you have with Azure and how it relates to building and supporting cloud-based data solutions.
