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- Tasks: Join our data team to build and optimise Snowflake data pipelines and warehouses.
- Company: Gleeson Recruitment Group values inclusivity and diversity in the workplace.
- Benefits: Enjoy flexible working with 3 days onsite and a supportive team environment.
- Why this job: Be part of a cutting-edge project that drives data-driven decision-making and business intelligence.
- Qualifications: Strong Snowflake experience, SQL skills, and familiarity with cloud platforms required.
- Other info: We are a disability confident employer, welcoming applicants from all backgrounds.
The predicted salary is between 36000 - 60000 £ per year.
Location: Somerset, 3 days per week onsite
Contract- outside IR35
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. While the overall BI and data strategy is being led by the manager, 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.
GleeIT - Snowflake Data Engineer At Gleeson Recruitment Group, we embrace inclusivity and welcome applicants of all backgrounds, experiences, and abilities. We are proud to be a disability confident employer.
By applying you will be registered as a candidate with Gleeson Recruitment Limited. Our Privacy Policy is available on our website and explains how we will use your data.
Snowflake Data Engineer employer: Gleeson Recruitment Group
Contact Detail:
Gleeson Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Snowflake Data Engineer
✨Tip Number 1
Familiarise yourself with Snowflake's features and functionalities. Understanding how to build scalable pipelines and optimise data models will give you a significant edge during discussions with our team.
✨Tip Number 2
Brush up on your SQL skills, as they are crucial for this role. Being able to demonstrate your expertise in SQL during the interview can set you apart from other candidates.
✨Tip Number 3
Showcase your experience with cloud platforms like AWS, Azure, or GCP. Be prepared to discuss how you've used these platforms in previous projects, as this will align with our technical requirements.
✨Tip Number 4
Prepare to discuss data governance and security best practices. Highlighting your knowledge in these areas will demonstrate your commitment to maintaining data integrity within our Snowflake environment.
We think you need these skills to ace Snowflake Data Engineer
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 demonstrate your hands-on skills.
Craft a Strong Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your skills align with the job requirements, particularly your expertise in SQL and cloud platforms like AWS, Azure, or GCP.
Showcase Relevant Projects: If you have any relevant projects or case studies, consider including them in your application. This could be a portfolio or a brief description of how you've implemented data modelling best practices or ensured data integrity in previous roles.
Proofread Your Application: Before submitting, take the time to proofread your application. Check for any spelling or grammatical errors, and ensure that all information is clear and concise. A polished application reflects your attention to detail.
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 problems or write queries 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
As the role involves working closely with business analysts and stakeholders, think of examples where you've successfully collaborated in a team setting. Highlight your ability to communicate technical concepts to non-technical team members.
