At a Glance
- Tasks: Lead the migration to a modern Snowflake Lakehouse and deliver improvements.
- Company: Dynamic tech company based in Edinburgh with a focus on innovation.
- Benefits: Competitive daily rate, hybrid work model, and contract flexibility.
- Other info: Exciting opportunity for career growth in a collaborative environment.
- Why this job: Join a hands-on role that combines leadership with cutting-edge data technology.
- Qualifications: Experience with Snowflake and AWS, plus strong leadership skills.
While professional experience and qualifications are key for this role, make sure to check you have the preferable soft skills before applying if required.
Hybrid (2 days onsite) Edinburgh | £500 - £550 per day | 6 months | ASAP
Role Overview:
We are looking for a senior Snowflake Data Engineer to lead the migration from a bespoke AWS data platform to a modern Snowflake Lakehouse. This is hands-on and leadership combined. You will modernise an existing estate (not greenfield), deliver BAU improvements.
Snowflake Data Engineer in Livingston employer: Bright Purple Resourcing
As a leading employer in the tech industry, we offer an innovative work culture that fosters collaboration and creativity, particularly for our Snowflake Data Engineers. Located in the vibrant city of Edinburgh, we provide competitive daily rates and a hybrid working model that promotes work-life balance, alongside ample opportunities for professional growth and development in cutting-edge data technologies.
StudySmarter Expert Advice🤫
We think this is how you could land Snowflake Data Engineer in Livingston
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who have experience with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your previous projects, especially those involving AWS and Snowflake. This will give potential employers a clear picture of what you can bring to the table.
✨Tip Number 3
Ace the interview! Brush up on your technical knowledge and be ready to discuss your hands-on experience with data migration and modernisation. Practice common interview questions and think of examples that highlight your leadership skills.
✨Tip Number 4
Apply through our website! We make it super easy for you to find roles that match your skills. Plus, applying directly can sometimes give you an edge over other candidates.
We think you need these skills to ace Snowflake Data Engineer in Livingston
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Snowflake and AWS. We want to see how your skills match the job description, 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. We love seeing your personality come through, so feel free to share your passion for data engineering.
Showcase Your Soft Skills:While technical skills are crucial, don’t forget to mention your soft skills too! Leadership, teamwork, and communication are key in this role, so give us examples of how you've demonstrated these in your past experiences.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the easiest way for us to keep track of your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Bright Purple Resourcing
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Understand its architecture, features, and how it integrates with AWS. Be ready to discuss your past experiences with Snowflake and how you've tackled challenges in data migration.
✨Showcase Your Leadership Skills
Since this role involves a mix of hands-on work and leadership, prepare examples that highlight your ability to lead teams and projects. Think about times when you’ve successfully guided a team through a complex migration or improvement process.
✨Prepare for Technical Questions
Expect technical questions that dive deep into your experience with data engineering and Snowflake. Brush up on SQL, data modelling, and ETL processes. Practising common technical interview questions can help you articulate your thought process clearly.
✨Demonstrate Your Problem-Solving Skills
Be ready to discuss specific problems you've encountered in previous roles and how you solved them. This could include issues during data migration or optimising performance in existing systems. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
