Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join our data team to build and optimise Snowflake data pipelines.
- Company: Gleeson Recruitment Group values inclusivity and diversity in the workplace.
- Benefits: Enjoy flexible working with 3 days onsite and a supportive team culture.
- Why this job: Be part of a crucial project shaping data-driven decisions in a growing company.
- Qualifications: Strong Snowflake experience, SQL skills, and familiarity with cloud platforms required.
- Other info: We are a disability confident employer, welcoming all backgrounds and experiences.
The predicted salary is between 36000 - 60000 £ per year.
Location: Somerset, 3 days per week onsite
Overview: We are looking for a talented Snowflake Data Engineer to join our growing data team. Reporting to the BI & Data Manager, you will play a key role in the technical build of our new enterprise data warehouse. Your focus will be on hands-on development: building scalable pipelines, designing efficient data models, and ensuring a high-quality Snowflake environment to support business intelligence, analytics, and data-driven decision-making.
Key Responsibilities:
- Develop and optimize data pipelines and ETL processes into Snowflake.
- Build, structure, and maintain the Snowflake data warehouse.
- Work closely with the BI & Data Manager to align technical solutions with strategic goals.
- Implement data modelling best practices to support reporting and analysis needs.
- Ensure data integrity, security, and performance within the Snowflake environment.
- Collaborate with business analysts, developers, and stakeholders across the business.
Skills and Experience Required:
- Strong experience working with Snowflake in a data engineering capacity.
- Expertise in SQL and ETL/ELT development.
- Familiarity with cloud platforms (AWS, Azure, or GCP).
- Experience with data modelling (e.g., star/snowflake schema).
- Knowledge of best practices in data governance, security, and performance optimization.
- Ability to work collaboratively but also drive work independently.
Please apply asap if interested.
Data Engineer (Snowflake) employer: Gleeson Recruitment Group
Contact Detail:
Gleeson Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer (Snowflake)
✨Tip Number 1
Familiarise yourself with Snowflake's features and functionalities. Understanding how to optimise data pipelines and manage the Snowflake environment will give you a significant edge during interviews.
✨Tip Number 2
Brush up on your SQL skills, as they are crucial for this role. Be prepared to discuss specific SQL queries you've written or optimised in past projects, showcasing your hands-on experience.
✨Tip Number 3
Network with professionals in the data engineering field, especially those who have experience with Snowflake. Engaging in relevant online communities or attending meetups can provide valuable insights and connections.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms like AWS, Azure, or GCP. Highlight any projects where you've integrated these platforms with Snowflake, as this knowledge is highly sought after.
We think you need these skills to ace Data Engineer (Snowflake)
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and data engineering. Include specific projects where you've developed data pipelines or worked with ETL processes, as this will show you have the relevant skills for the role.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the position and the company. Mention how your background aligns with their needs, particularly your expertise in SQL and cloud platforms. This is your chance to showcase your personality and passion for data engineering.
Showcase Relevant Projects: If you have any personal or professional projects that demonstrate your skills in data modelling or working with Snowflake, include them in your application. This could be a great way to illustrate your hands-on experience and problem-solving abilities.
Highlight Collaboration Skills: Since the role involves working closely with various stakeholders, emphasise your ability to collaborate effectively. Provide examples of past experiences where you successfully worked in a team to achieve a common goal, especially in data-related projects.
How to prepare for a job interview at Gleeson Recruitment Group
✨Showcase Your Snowflake Expertise
Make sure to highlight your experience with Snowflake during the interview. Be prepared to discuss specific projects where you've built or optimised data pipelines, as well as any challenges you faced and how you overcame them.
✨Demonstrate Your SQL Skills
Since SQL is a key requirement for this role, brush up on your SQL knowledge before the interview. You might be asked to solve a problem or write a query on the spot, so practice common SQL scenarios that relate to data engineering.
✨Understand Data Modelling Best Practices
Familiarise yourself with data modelling concepts, especially star and snowflake schemas. Be ready to explain how you would implement these models in a Snowflake environment to support reporting and analysis needs.
✨Prepare for Collaborative Scenarios
This role involves working closely with various stakeholders. Think of examples from your past experiences where you successfully collaborated with business analysts or developers, and be ready to discuss how you can contribute to a team-oriented environment.
