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- Tasks: Build and optimise data pipelines using Snowflake Cortex for advanced analytics.
- Company: Join a leading global Investment Management firm focused on tech innovation.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Be part of a transformative journey in the investment sector with cutting-edge technology.
- Qualifications: 5+ years in Data Engineering, strong Snowflake Cortex and Python skills required.
- Other info: Dynamic team environment with a focus on AI and data-driven decision making.
The predicted salary is between 70000 - 90000 £ per year.
Orbis are partnering with a global Investment Management firm building out their Data and AI capabilities. As part of this exciting new development, they’re looking for a Senior Data Engineer with Snowflake Cortex experience. This is an incredible opportunity to work with one of the most technically progressive firms in the Investment Management industry as they continue a journey to modernise their technology estate, fully maximising the benefit of AI.
In this role, you will:
- Build and optimise scalable data pipelines and models on Snowflake, leveraging Cortex for advanced analytics, AI/ML use cases and data enrichment.
- Integrate vendor platforms and third-party data sources into the firm’s evolving architecture, ensuring clean, reliable and well-governed data flows.
- Support the transition from proprietary systems to a hybrid vendor-led ecosystem, designing robust data frameworks, improving data quality, and enabling downstream analytics and reporting.
To be successful in this role, you will need:
- 5+ years' experience in Data Engineering roles
- Strong hands-on commercial experience with Snowflake Cortex, Python and Data Engineering in a Microsoft Azure-based environment
- Excellent ETL experience managing the full end-to-end process from Data Ingestion through to Data Publishing
If you feel your experience is a match with the above, please apply with an up to date copy of your CV in the first instance.
Senior Data Engineer - Snowflake Cortex - Investment Management employer: Orbis Group
Contact Detail:
Orbis Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer - Snowflake Cortex - Investment Management
✨Tip Number 1
Network like a pro! Reach out to your connections in the investment management and data engineering space. 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 Snowflake Cortex projects or any relevant data pipelines you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge, especially around ETL processes and Azure environments. Practising common interview questions can help you feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Data Engineer - Snowflake Cortex - Investment Management
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Snowflake Cortex and Data Engineering. 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 tell us why you’re the perfect fit for this role. Share your passion for data engineering and how you can contribute to our mission of modernising technology in investment management.
Showcase Your Technical Skills: Since this role requires strong hands-on experience, make sure to detail your proficiency in Python and ETL processes. We love seeing specific examples of how you've built and optimised data pipelines in the past!
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. Don’t miss out!
How to prepare for a job interview at Orbis Group
✨Know Your Snowflake Inside Out
Make sure you brush up on your Snowflake Cortex knowledge. Be ready to discuss specific projects where you've built and optimised data pipelines. Highlight any advanced analytics or AI/ML use cases you've worked on, as this will show you're not just familiar with the tool but can leverage it effectively.
✨Showcase Your ETL Expertise
Prepare to talk about your end-to-end ETL processes. Have examples ready that demonstrate how you've managed data ingestion, transformation, and publishing. This is crucial for the role, so make sure you can explain your approach to ensuring clean and reliable data flows.
✨Integrate Real-World Scenarios
Think of scenarios where you've integrated vendor platforms or third-party data sources into existing architectures. Be ready to discuss challenges you faced and how you overcame them. This will illustrate your problem-solving skills and adaptability in a hybrid vendor-led ecosystem.
✨Emphasise Collaboration and Communication
As a Senior Data Engineer, you'll need to work closely with various teams. Prepare to share examples of how you've collaborated with stakeholders to design robust data frameworks. Highlight your ability to communicate complex technical concepts in a way that's understandable to non-technical team members.