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- Tasks: Design and optimise data solutions for finance and supply chain sectors.
- Company: Leading consulting firm in Greater London with a focus on innovation.
- Benefits: Competitive salary, career growth, and the chance to work on AI-driven projects.
- Why this job: Join a dynamic team and drive business transformation through data analytics.
- Qualifications: Strong programming skills in Python and SQL; experience with Databricks, Azure, and Snowflake.
- Other info: Exciting opportunity to work in a fast-paced environment with top industry professionals.
The predicted salary is between 43200 - 72000 £ per year.
A leading consulting firm in Greater London is seeking a highly skilled Data Engineer Senior Consultant. This role will involve designing, building, and optimizing data solutions for various business domains, including finance and supply chain.
Candidates should possess strong programming skills in Python and SQL, with experience in tools like Databricks, Azure, and Snowflake. A degree in a relevant field is essential. The position offers an opportunity to contribute to AI-driven business transformation.
Senior Data Engineer & AI Analytics Consultant in London employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer & AI Analytics Consultant in London
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend meetups, and engage in online forums. The more people you know, the better your chances of landing that Senior Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and tools like Databricks or Azure. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when solving problems, as this is key for roles focused on AI-driven business transformation.
✨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 Data Engineer & AI Analytics Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant tools like Databricks, Azure, and Snowflake. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re passionate about data engineering and AI analytics. Let us know how your background in finance or supply chain can add value to our team.
Showcase Your Projects: If you've worked on any cool projects that involved data solutions, make sure to mention them! We love seeing real-world applications of your skills, so include links or descriptions of your work if possible.
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at EY
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and the tools mentioned like Databricks, Azure, and Snowflake. Brush up on your knowledge of these technologies and be ready to discuss how you've used them in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've designed and optimised data solutions in previous roles. Think about challenges you faced and how you overcame them, especially in finance or supply chain contexts.
✨Understand AI's Role in Business
Since this role involves AI-driven business transformation, be prepared to discuss how data engineering supports AI initiatives. Familiarise yourself with current trends in AI analytics and be ready to share your insights.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company’s approach to data engineering and AI. This shows your genuine interest and helps you assess if the company is the right fit for you.
