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- Tasks: Design and develop a Snowflake-based data warehouse and optimise data pipelines.
- Company: Join a leading Investment Management firm in Greater London with a focus on AI capabilities.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Exciting opportunity to work with cutting-edge technology and make a significant impact.
- Why this job: Be part of a transformative journey towards AI optimisation in a technically progressive environment.
- Qualifications: 5+ years in Data Engineering with strong Snowflake and Data Warehousing experience.
The predicted salary is between 70000 - 90000 £ per year.
Orbis Group is seeking a Senior Data Engineer in Greater London to enhance their Data and AI capabilities within a leading Investment Management firm. You will design and develop a Snowflake-based data warehouse, optimize data pipelines, and integrate third-party data platforms.
The ideal candidate has 5+ years in Data Engineering with strong experience in Snowflake and Data Warehousing. Join a technically progressive firm on a transformative journey towards AI optimization.
Senior Snowflake Data Engineer – AI-Ready Data Warehouse in London employer: Orbis Group
Contact Detail:
Orbis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Snowflake Data Engineer – AI-Ready Data Warehouse in London
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering field, especially those who work with Snowflake. A friendly chat can lead to insider info about job openings or even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your past projects, especially those involving data warehousing and Snowflake. This gives potential employers a taste of what you can bring to their team.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Snowflake knowledge and data pipeline optimisation techniques. Practise common interview questions and scenarios to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be the perfect fit for you. Plus, it’s a great way to get noticed by our hiring team.
We think you need these skills to ace Senior Snowflake Data Engineer – AI-Ready Data Warehouse in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake and data warehousing. We want to see how your skills align with the role, so don’t be shy about showcasing relevant projects!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Tell us why you’re excited about the role and how you can contribute to our AI-ready data warehouse. Keep it engaging and personal.
Showcase Your Technical Skills: We’re looking for someone with solid technical expertise. Include specific examples of how you’ve optimised data pipelines or integrated third-party platforms in your previous roles. Numbers and results speak volumes!
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!
How to prepare for a job interview at Orbis Group
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake knowledge before the interview. Be ready to discuss your experience with data warehousing, optimising data pipelines, and integrating third-party platforms. Having specific examples from your past work will show that you’re not just familiar with the technology but can also apply it effectively.
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles and how you overcame them. Orbis Group is looking for someone who can think critically and adapt to new situations, especially in a fast-paced environment like investment management. Use the STAR method (Situation, Task, Action, Result) to structure your answers.
✨Understand the Company’s Vision
Do some homework on Orbis Group and their approach to AI and data. Understanding their goals and how they plan to enhance their Data and AI capabilities will help you align your answers with their vision. This shows genuine interest and that you’re not just looking for any job, but specifically want to contribute to their mission.
✨Prepare Questions That Matter
Interviews are a two-way street, so come prepared with insightful questions. Ask about their current data projects, the team dynamics, or how they envision the role evolving as they move towards AI optimisation. This not only demonstrates your enthusiasm but also helps you gauge if the company is the right fit for you.