Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Design and implement high-quality data platforms to boost AI capabilities.
- Company: Join Slalom, a forward-thinking consultancy with a focus on innovation.
- Benefits: Enjoy a hybrid work environment and opportunities for professional growth.
- Other info: Collaborative team culture with a passion for cutting-edge technology.
- Why this job: Be at the forefront of AI development and work on exciting projects.
- Qualifications: 3-5 years in data engineering with expertise in Snowflake and Python.
The predicted salary is between 50000 - 60000 £ per year.
Slalom is seeking a Data Engineer (Consultant) in London or Manchester to design and implement high-quality data platforms and solutions that enhance AI capabilities. The role requires 3-5 years of experience in data engineering and strong proficiency in Snowflake and Python. Candidates should demonstrate a keen interest in AI-assisted development and work collaboratively across teams. This position offers a hybrid work environment and opportunities to engage in innovative AI projects.
AI-Ready Data Engineer — Snowflake Platform Expert employer: Slalom
Contact Detail:
Slalom Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI-Ready Data Engineer — Snowflake Platform Expert
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, especially those working with Snowflake or AI. 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 data engineering projects, especially those involving Snowflake and Python. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to data engineering and AI, and don’t forget to highlight your collaborative spirit!
✨Tip Number 4
Apply through our website! We love seeing applications directly from candidates who are excited about joining us. It shows initiative and gives you a better chance to stand out in the hiring process.
We think you need these skills to ace AI-Ready Data Engineer — Snowflake Platform Expert
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with Snowflake and Python in your application. We want to see how you've used these tools in real projects, so don’t hold back on the details!
Express Your Passion for AI: Since this role is all about enhancing AI capabilities, let us know why you're excited about AI-assisted development. Share any relevant projects or experiences that showcase your interest!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. We love seeing candidates who take the time to align their skills and experiences with what we’re looking for.
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’re considered for this exciting opportunity!
How to prepare for a job interview at Slalom
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake skills before the interview. Be ready to discuss specific features, your experience with data warehousing, and how you've used Snowflake in past projects. This will show that you're not just familiar with the platform but can leverage it effectively.
✨Showcase Your Python Proficiency
Prepare to talk about your Python projects and how you've used it in data engineering. Bring examples of scripts or applications you've developed, especially those that relate to AI. This will demonstrate your technical skills and your ability to contribute to AI-assisted development.
✨Collaborative Spirit is Key
Since the role involves working across teams, be ready to share examples of how you've successfully collaborated in the past. Highlight any cross-functional projects where you contributed to a team’s success, as this will show that you can work well in a hybrid environment.
✨Stay Curious About AI Trends
Express your enthusiasm for AI and how it intersects with data engineering. Research current trends and innovations in AI that could impact data platforms. This will not only impress your interviewers but also show that you're genuinely interested in the field and eager to contribute to innovative projects.