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For Companies At a Glance
- Tasks: Design and maintain data pipelines, ensuring data quality and reliability.
- Company: Join a cutting-edge team in Manchester focused on data innovation.
- Benefits: Enjoy flexible working options and a vibrant company culture.
- Why this job: Be part of a collaborative environment that values creativity and technical expertise.
- Qualifications: 3+ years of Snowflake experience and strong Python skills required.
- Other info: Ideal for detail-oriented individuals passionate about data engineering.
The predicted salary is between 48000 - 72000 £ per year.
Join a dynamic team in Manchester on the forefront of data innovation. We\’re seeking a Data Engineer with a strong focus on AWS and Snowflake.
What You\’ll Do:
- Design and maintain data pipelines using ETL tools.
- Develop automated data quality checks to ensure data reliability.
- Leverage AWS services and Snowflake extensively for data products.
- Document business logic and technical implementations.
What We Need:
- 3+ years of Snowflake experience.
- Strong proficiency in Python and API connectivity.
- Experience with ETL tools in a data warehouse environment.
- Ability to translate business logic into technical solutions.
- Collaborative and detail-oriented mindset.
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Data Engineer employer: Berkeley Square IT
Contact Detail:
Berkeley Square IT Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer
✨Tip Number 1
Familiarise yourself with AWS and Snowflake by exploring their documentation and tutorials. This will not only boost your technical knowledge but also show your genuine interest in the tools we use at StudySmarter.
✨Tip Number 2
Engage with the data engineering community on platforms like LinkedIn or GitHub. Sharing your projects or insights can help you network with professionals in the field and may even catch our attention!
✨Tip Number 3
Prepare to discuss your experience with ETL tools and how you've implemented data quality checks in previous roles. Being able to articulate your hands-on experience will set you apart during interviews.
✨Tip Number 4
Showcase your collaborative skills by highlighting any team projects you've worked on. We value a detail-oriented mindset, so be ready to share examples of how you’ve contributed to successful outcomes in a team setting.
We think you need these skills to ace Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake, AWS, and Python. Use specific examples of projects where you've designed data pipelines or implemented ETL tools to demonstrate your skills.
Craft a Compelling Cover Letter: In your cover letter, express your enthusiasm for the role and the company. Mention how your background aligns with their needs, particularly your experience in developing automated data quality checks and translating business logic into technical solutions.
Showcase Relevant Projects: If you have worked on relevant projects, consider including a portfolio or a brief description of these projects in your application. Highlight your collaborative approach and attention to detail in these examples.
Proofread Your Application: Before submitting, carefully proofread your application materials. Check for any spelling or grammatical errors, and ensure that all technical terms are used correctly to reflect your expertise.
How to prepare for a job interview at Berkeley Square IT
✨Showcase Your Technical Skills
Be prepared to discuss your experience with Snowflake, AWS, and Python in detail. Bring examples of past projects where you designed data pipelines or implemented ETL processes, as this will demonstrate your hands-on expertise.
✨Understand the Business Logic
Since the role requires translating business logic into technical solutions, make sure you understand how data impacts business decisions. Be ready to discuss how you've previously aligned technical implementations with business needs.
✨Prepare for Problem-Solving Questions
Expect questions that assess your problem-solving abilities, especially related to data quality checks and pipeline maintenance. Think of scenarios where you faced challenges and how you overcame them using your technical skills.
✨Emphasise Collaboration
This role values a collaborative mindset, so be sure to highlight your experiences working in teams. Discuss how you’ve effectively communicated with stakeholders and contributed to team projects, showcasing your ability to work well with others.
