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- Tasks: Build and enhance data pipelines and models in Snowflake for enterprise analytics.
- Company: Join a forward-thinking company focused on data innovation.
- Benefits: Enjoy a competitive salary, flexible work arrangements, and professional growth opportunities.
- Other info: Collaborative environment with a focus on continuous learning and development.
- Why this job: Make a real impact by optimising data solutions and supporting business decisions.
- Qualifications: Experience with Snowflake and Azure Data Factory is essential.
The predicted salary is between 50000 - 65000 £ 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 London employer: Dgh Recruitment
Contact Detail:
Dgh Recruitment Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Engineer in London
✨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 Snowflake projects and any data pipelines you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Be ready to explain complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We often have exclusive listings that you won't find elsewhere. Plus, it shows you're genuinely interested in joining our team.
We think you need these skills to ace Snowflake Engineer in London
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. We love seeing genuine enthusiasm!
Showcase Your Technical Skills: When detailing your experience, focus on specific technical skills mentioned in the job description, like data modelling and pipeline automation. We appreciate clarity, so use examples that demonstrate your expertise.
Apply Through Our Website: We encourage you to apply directly through our website for the best chance of getting noticed. It’s super easy, and we can’t wait to see your application come through!
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 its architecture, administration, and optimisation techniques. Prepare examples of how you've used Snowflake in past projects, especially focusing on performance and cost efficiency.
✨Show Off Your Data Pipeline Skills
Since the role involves building data pipelines, be prepared to talk about your experience with Azure Data Factory. Bring specific examples of workflows you've designed and how you've ensured their reliability and performance. This will show that you can hit the ground running.
✨Communicate Like a Pro
You'll need to explain technical concepts to non-technical stakeholders, so practice simplifying complex ideas. Think of ways to relate your technical skills to business outcomes. This will demonstrate your ability to bridge the gap between tech and business.
✨Prepare for Scenario Questions
Expect questions that ask how you would handle specific challenges, like optimising a data warehouse or implementing RBAC policies. Think through potential scenarios and how you would approach them. This shows your problem-solving skills and understanding of best practices.