At a Glance
- Tasks: Build and optimise data pipelines 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: Make an impact by enhancing data platforms and supporting business decisions.
- Qualifications: Experience with Snowflake and Azure Data Factory is essential.
The predicted salary is between 50000 - 60000 £ 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.
- Experience working in enterprise, production data environments.
- Ability to communicate technical concepts clearly to non-technical stakeholders.
Snowflake Engineer in Sheffield employer: DGH Recruitment
As a Snowflake Engineer with us, you'll thrive in a dynamic work environment that champions innovation and collaboration. Our commitment to employee growth is evident through continuous learning opportunities and a supportive culture that values your contributions. Located in a vibrant area, we offer a flexible work schedule with three days onsite, ensuring a healthy work-life balance while you engage in meaningful projects that drive enterprise analytics forward.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Engineer in Sheffield
✨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 love seeing applications directly from candidates who are passionate about data engineering. Plus, it shows you're proactive and keen to join our team.
We think you need these skills to ace Snowflake Engineer in Sheffield
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 your relevant projects!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and how you can contribute to our team. Keep it concise but impactful – we love a good story!
Showcase Your Technical Skills:When detailing your experience, focus on specific projects where you’ve built data pipelines or worked with dimensional models. We’re looking for hands-on experience, so give us the juicy details!
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 don’t miss out on any important updates from our team!
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 successfully implemented dimensional data models or optimised warehouses in past roles.
✨Show Off Your Data Pipeline Skills
Since you'll be working with Azure Data Factory, it’s crucial to demonstrate your experience with building and maintaining data transformation workflows. Bring specific examples of projects where you’ve developed data ingestion pipelines and how you ensured their reliability and performance.
✨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 had to break down technical jargon into layman's terms and be prepared to share those experiences during the interview.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world situations. Prepare for scenarios related to data masking policies, RBAC implementation, or CI/CD practices. Think through how you would approach these challenges and be ready to discuss your thought process.
