Junior Snowflake Data Engineer: AI-Driven Cloud Pipelines
Junior Snowflake Data Engineer: AI-Driven Cloud Pipelines

Junior Snowflake Data Engineer: AI-Driven Cloud Pipelines

Entry level 30000 - 50000 Β£ / year (est.) No home office possible
L

At a Glance

  • Tasks: Design and optimise data pipelines using Snowflake across major cloud platforms.
  • Company: Leading tech company in the UK with a focus on innovation.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Why this job: Join a dynamic team and make an impact in the pharmaceutical sector.
  • Qualifications: Strong skills in Snowflake, SQL, and ETL tools; Python knowledge is a bonus.
  • Other info: Exciting role with potential for career advancement in a fast-paced environment.

The predicted salary is between 30000 - 50000 Β£ per year.

A leading technology company in the UK is looking for a skilled Snowflake Data Engineer to design and optimize data pipelines across AWS, Azure, and GCP. The role requires strong expertise in Snowflake, SQL, and ETL tools. You will collaborate with data analysts and business teams to deliver reliable data solutions and ensure data quality and compliance standards are met. Familiarity with Python and cloud certifications is a plus. This position offers an exciting opportunity for innovation and growth in the pharmaceutical sector.

Junior Snowflake Data Engineer: AI-Driven Cloud Pipelines employer: Luxoft

Join a leading technology company in the UK that champions innovation and collaboration, offering a dynamic work culture where your contributions as a Junior Snowflake Data Engineer will directly impact the pharmaceutical sector. With a strong focus on employee growth, you will have access to continuous learning opportunities and cutting-edge projects, all while enjoying a supportive environment that values teamwork and creativity.
L

Contact Detail:

Luxoft Recruiting Team

StudySmarter Expert Advice 🀫

We think this is how you could land Junior Snowflake Data Engineer: AI-Driven Cloud Pipelines

✨Tip Number 1

Network like a pro! Reach out to people in the industry, especially those working with Snowflake or in data engineering roles. A friendly chat can lead to insider info about job openings and even referrals.

✨Tip Number 2

Show off your skills! Create a portfolio showcasing your projects related to data pipelines, SQL queries, or any ETL processes you've worked on. This gives potential employers a taste of what you can do.

✨Tip Number 3

Prepare for interviews by brushing up on common questions related to Snowflake and cloud technologies. We recommend practising your answers with a friend or even in front of the mirror to boost your confidence.

✨Tip Number 4

Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive and eager to join our team.

We think you need these skills to ace Junior Snowflake Data Engineer: AI-Driven Cloud Pipelines

Snowflake
SQL
ETL tools
Data Pipeline Design
Data Quality Assurance
Compliance Standards
Collaboration Skills
Python
Cloud Certifications
AWS
Azure
GCP
Analytical Skills
Problem-Solving Skills

Some tips for your application 🫑

Tailor Your CV: Make sure your CV highlights your experience with Snowflake, SQL, and ETL tools. 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 excited about the role and how your background makes you a great fit. We love seeing genuine enthusiasm for the position and the company.

Showcase Your Collaboration Skills: Since you'll be working with data analysts and business teams, highlight any past experiences where you’ve successfully collaborated with others. We value teamwork, so let us know how you can contribute to our collective success!

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 from us during the process!

How to prepare for a job interview at Luxoft

✨Know Your Snowflake Inside Out

Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss how you've used it in past projects, and be prepared to explain its features and benefits. This will show that you're not just familiar with the tool but can also leverage it effectively.

✨SQL Skills Are Key

Since SQL is a big part of this role, practice writing queries and optimising them. You might be asked to solve a problem on the spot, so being comfortable with SQL syntax and functions will give you a leg up. Consider doing some mock exercises to sharpen your skills.

✨Showcase Your ETL Experience

Be ready to talk about your experience with ETL tools. Prepare examples of how you've designed and optimised data pipelines in previous roles. Highlight any challenges you faced and how you overcame them, as this demonstrates your problem-solving abilities.

✨Familiarity with Cloud Platforms

Since the role involves AWS, Azure, and GCP, make sure you understand the basics of these platforms. If you have any cloud certifications, mention them! Even if you don’t, showing enthusiasm for learning about cloud technologies can set you apart from other candidates.

Junior Snowflake Data Engineer: AI-Driven Cloud Pipelines
Luxoft

Land your dream job quicker with Premium

You’re marked as a top applicant with our partner companies
Individual CV and cover letter feedback including tailoring to specific job roles
Be among the first applications for new jobs with our AI application
1:1 support and career advice from our career coaches
Go Premium

Money-back if you don't land a job in 6-months

L
Similar positions in other companies
UK’s top job board for Gen Z
discover-jobs-cta
Discover now
>