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- Tasks: Design and implement data models in Snowflake for enterprise analytics.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Flexible work schedule, competitive pay, and opportunities for growth.
- Other info: Collaborative environment with a focus on professional development.
- Why this job: Be at the forefront of data engineering and make a real impact.
- Qualifications: Experience with Snowflake and Azure Data Factory is essential.
The predicted salary is between 60000 - 75000 £ per year.
A Snowflake Data Engineer role focused on maintaining and enhancing an enterprise data platform. The position centres on building secure, performant data pipelines and analytical models in Snowflake, primarily supporting a Power BI reporting layer.
Key Responsibilities
- Design and implement dimensional data models in Snowflake to support enterprise analytics.
- Build and maintain production-grade data transformation workflows, including version control, testing, and documentation.
- Develop and orchestrate data ingestion pipelines using Azure Data Factory (ADF).
- Optimise Snowflake warehouses for performance and cost efficiency.
- Automate and monitor data loads to ensure timely, reliable data availability.
- Implement and manage RBAC and data masking policies to protect sensitive data.
- Help define and maintain engineering standards, naming conventions, and CI/CD practices.
- Act as a trusted technical advisor to non-technical business stakeholders.
Required Experience & Skills
- Strong hands-on experience with Snowflake (architecture, administration, optimisation).
- Proven experience with Azure Data Factory (ADF).
- Solid understanding of data warehousing and dimensional modelling concepts.
- Ability to communicate technical concepts clearly to non-technical stakeholders.
Snowflake Engineer in England employer: Dgh Recruitment
Contact Detail:
Dgh Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Engineer in England
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake or Azure Data Factory. 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 work with Snowflake and data pipelines. Include projects that highlight your ability to optimise performance and manage data securely. This will make you stand out when we’re looking for candidates.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. You’ll need to explain complex technical concepts to non-technical stakeholders, so practice breaking down your experience in a way that’s easy to understand. We love candidates who can bridge that gap!
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, it shows you’re genuinely interested in joining our team and contributing to our data engineering efforts.
We think you need these skills to ace Snowflake Engineer in England
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and Azure Data Factory. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Snowflake Engineer role and how your background makes you a perfect fit. Keep it conversational but professional – we love personality!
Showcase Your Technical Skills: When detailing your experience, focus on specific technical skills like data modelling and pipeline optimisation. We’re looking for hands-on experience, so include examples of how you’ve tackled challenges in previous roles.
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 – just follow the prompts!
How to prepare for a job interview at Dgh Recruitment
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your hands-on experience with its architecture, administration, and optimisation. Prepare examples of how you've built data models or optimised warehouses in past roles.
✨Show Off Your Data Pipeline Skills
Since this role involves building data ingestion pipelines using Azure Data Factory, be prepared to talk about your experience with ADF. Bring specific examples of workflows you've created, focusing on version control, testing, and documentation.
✨Communicate Like a Pro
You'll need to explain technical concepts to non-technical stakeholders, so practice simplifying complex ideas. Think of scenarios where you've successfully communicated technical details to a non-technical audience and be ready to share those stories.
✨Understand the Bigger Picture
Familiarise yourself with the company's data strategy and how your role as a Snowflake Engineer fits into it. This will help you demonstrate your understanding of the enterprise analytics landscape and show that you're not just focused on the technical side but also on how it impacts the business.