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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 is a disability confident employer.
- Benefits: Enjoy flexible working with 3 days onsite and a supportive team culture.
- Why this job: Be part of a growing team making impactful data-driven decisions in a dynamic environment.
- Qualifications: Strong Snowflake experience, SQL expertise, and familiarity with cloud platforms required.
- Other info: Apply now to kickstart your career in data engineering!
The predicted salary is between 28800 - 48000 £ 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 ETL processes specifically for Snowflake will give you a significant edge during interviews.
✨Tip Number 2
Brush up on your SQL skills, as they are crucial for this role. Consider working on sample projects or contributing to open-source projects that involve SQL and Snowflake to showcase your expertise.
✨Tip Number 3
Network with professionals in the data engineering field, especially those who work with Snowflake. Engaging in relevant online communities or attending meetups can provide valuable insights and potential referrals.
✨Tip Number 4
Prepare to discuss your experience with cloud platforms like AWS, Azure, or GCP. Be ready to explain how you've used these technologies in past projects, as this knowledge is essential for the role.
We think you need these skills to ace Data Engineer (Snowflake)
Some tips for your application 🫡
Understand the Role: Before applying, make sure you fully understand the responsibilities and requirements of a Snowflake Data Engineer. Familiarise yourself with key terms like ETL processes, data modelling, and Snowflake to tailor your application effectively.
Highlight Relevant Experience: In your CV and cover letter, emphasise your experience with Snowflake and any relevant projects you've worked on. Be specific about your role in developing data pipelines and optimising ETL processes, as this will demonstrate your suitability for the position.
Showcase Technical Skills: Make sure to list your technical skills prominently, especially your expertise in SQL and familiarity with cloud platforms like AWS, Azure, or GCP. Providing examples of how you've applied these skills in previous roles can strengthen your application.
Craft a Compelling Cover Letter: Write a tailored cover letter that connects your background to the company's goals. Mention your ability to work collaboratively and independently, and express your enthusiasm for contributing to their data team and supporting data-driven decision-making.
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 crucial 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 Collaboration Questions
As the role involves working closely with various stakeholders, think of examples that demonstrate your ability to collaborate effectively. Prepare to discuss how you've worked with business analysts and developers in the past to achieve common goals.
