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- Tasks: Design and optimise scalable data solutions using Snowflake in a hybrid work environment.
- Company: Join a leading recruitment agency specialising in Data & AI roles across the UK.
- Benefits: Enjoy remote work options, competitive salary, and opportunities for professional growth.
- Why this job: Make an impact by developing high-performance data pipelines and collaborating with innovative teams.
- Qualifications: 3+ years in data engineering with strong Snowflake and SQL skills required.
- Other info: Dynamic role with excellent career advancement opportunities in a supportive culture.
The predicted salary is between 36000 - 60000 £ per year.
We are seeking a skilled Snowflake Data Engineer to design, build, and optimize scalable data solutions within our modern cloud data platform. You will play a key role in developing high-performance data pipelines, implementing data models, and enabling advanced analytics using Snowflake.
The ideal candidate has strong experience in cloud-based data warehousing, ETL/ELT development, and performance optimization, along with a passion for building reliable, scalable data systems.
Key Responsibilities- Design, develop, and maintain scalable data pipelines using Snowflake
- Build and optimize data models (star/snowflake schema) to support business intelligence and analytics
- Develop ELT processes using SQL, stored procedures, and cloud-native tools
- Integrate data from multiple sources (APIs, databases, streaming platforms) into Snowflake
- Implement data governance, security, masking, and role-based access controls
- Monitor performance and optimize queries, clustering, and warehouse configurations
- Collaborate with analytics, BI, and data science teams to deliver high-quality datasets
- Support CI/CD processes and infrastructure-as-code for data deployments
- Ensure data quality, validation, and observability best practices
- 3+ years of experience in data engineering
- Hands-on experience with Snowflake (data modeling, performance tuning, security)
- Strong SQL skills and experience with complex query optimization
- Experience building ETL/ELT pipelines
- Proficiency with at least one cloud platform: Amazon Web Services (AWS), Microsoft Azure (Azure), Google Cloud Platform (GCP)
- Experience with orchestration tools (e.g., Apache Airflow)
- Experience with version control (e.g., Git)
- Solid understanding of data warehousing concepts and dimensional modeling
Remote working/work at home options are available for this role.
Snowflake Data Engineer - Outside IR35 - Hybrid 3 days a week employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer - Outside IR35 - Hybrid 3 days a week
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data pipelines and projects. 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 common Snowflake scenarios and SQL challenges. Practising these will help you feel confident and ready to tackle any technical questions thrown your way.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for talented Snowflake Data Engineers like you. Plus, it’s a great way to get noticed by our team.
We think you need these skills to ace Snowflake Data Engineer - Outside IR35 - Hybrid 3 days a week
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to highlight your experience with Snowflake and data engineering. We want to see how your skills match the job description, so don’t be shy about showcasing relevant projects!
Showcase Your Skills: When writing your application, emphasise your SQL skills and any experience with ETL/ELT processes. We love seeing specific examples of how you've optimised data pipelines or worked with cloud platforms.
Keep It Clear and Concise: We appreciate clarity! Keep your application straightforward and to the point. Use bullet points where possible to make it easy for us to see your qualifications at a glance.
Apply Through Our Website: Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for this exciting opportunity. We can’t wait to hear from you!
How to prepare for a job interview at Tenth Revolution Group
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with data modelling, performance tuning, and security features. Having specific examples of how you've optimised data pipelines or implemented governance will really impress.
✨Show Off Your SQL Skills
Since strong SQL skills are a must for this role, prepare to demonstrate your expertise. Think about complex queries you've written and be ready to explain your thought process. Practising some common SQL problems can help you feel more confident.
✨Familiarise Yourself with Cloud Platforms
Whether it's AWS, Azure, or GCP, make sure you know the ins and outs of at least one cloud platform. Be prepared to discuss how you've used these platforms in your previous roles, especially in relation to data warehousing and ETL/ELT processes.
✨Collaboration is Key
This role involves working closely with analytics, BI, and data science teams. Think of examples where you've collaborated effectively in the past. Highlighting your teamwork skills and how you’ve contributed to successful projects will show you're a great fit for their culture.