At a Glance
- Tasks: Own and define Snowflake data architecture while building scalable data pipelines.
- Company: Join a dynamic recruitment firm in the heart of London.
- Benefits: Competitive contract rate, flexible working hours, and opportunities for skill enhancement.
- Other info: Collaborate closely with stakeholders and enjoy excellent career growth potential.
- Why this job: Make a real impact on modern data solutions in a fast-paced environment.
- Qualifications: Proven experience with Snowflake, Python, and SQL in production settings.
The predicted salary is between 60000 - 80000 £ per year.
Salt Digital Recruitment is seeking an experienced Snowflake / Python Data Engineer for a contract role in London. You will define and own the Snowflake-based data architecture and build scalable data pipelines while collaborating closely with stakeholders.
The ideal candidate has proven experience in production environments and strong knowledge of Snowflake, Python, and SQL. This fast-paced role requires hands-on ownership and will support the delivery of a modern Data Lakehouse.
Senior Snowflake Data Engineer - Python Pipelines & Lakehouse employer: Salt Digital Recruitment
At Salt Digital Recruitment, we pride ourselves on fostering a dynamic and inclusive work culture that empowers our employees to thrive. As a Senior Snowflake Data Engineer in London, you will benefit from competitive remuneration, flexible working arrangements, and ample opportunities for professional development, all while contributing to innovative data solutions in a collaborative environment. Join us to be part of a forward-thinking team that values your expertise and encourages growth.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Snowflake Data Engineer - Python Pipelines & Lakehouse
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake and Python. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best Snowflake and Python projects. This could be anything from data pipelines you've built to innovative solutions you've implemented. It’s a great way to stand out during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your SQL and data architecture knowledge. We recommend doing mock interviews with friends or using online platforms to get comfortable with common questions related to Snowflake and data engineering.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that match your skills. Plus, applying directly can sometimes give you an edge over other candidates. Let’s get you that dream job!
We think you need these skills to ace Senior Snowflake Data Engineer - Python Pipelines & Lakehouse
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Snowflake, Python, and SQL. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects or achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re the perfect fit for this role. Share specific examples of how you've built scalable data pipelines and collaborated with stakeholders in the past.
Showcase Your Hands-On Experience:Since this role requires hands-on ownership, make sure to mention any production environments you've worked in. We love seeing real-world applications of your skills, so include details about your contributions to previous projects.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates during the process!
How to prepare for a job interview at Salt Digital Recruitment
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with Snowflake architecture, data modelling, and any specific projects you've worked on. This will show that you’re not just familiar with the tool but can also leverage it effectively in a production environment.
✨Show Off Your Python Skills
Prepare to talk about your Python experience, especially in building data pipelines. Have examples ready that demonstrate your ability to write clean, efficient code and how you've used Python to solve real-world data challenges. This will highlight your technical prowess and problem-solving skills.
✨SQL is Your Best Friend
Since SQL is crucial for this role, make sure you can confidently discuss your SQL skills. Be prepared to answer questions about complex queries, optimising performance, and how you’ve used SQL in conjunction with Snowflake. Practising some SQL problems beforehand could give you an edge.
✨Collaboration is Key
This role involves working closely with stakeholders, so be ready to share examples of how you've successfully collaborated in past projects. Discuss your communication style and how you ensure everyone is on the same page. This will demonstrate that you understand the importance of teamwork in delivering a modern Data Lakehouse.
