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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, flexible working hours, and opportunities for professional growth.
- Why this job: Join us to drive AI-driven business transformation and make a real impact.
- Qualifications: Strong programming skills in Python and SQL; experience with Databricks, Azure, and Snowflake.
- Other info: Exciting projects in a dynamic environment with excellent career advancement potential.
The predicted salary is between 48000 - 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 employer: EY
Contact Detail:
EY Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer & AI Analytics Consultant
✨Tip Number 1
Network like a pro! Reach out to connections in the industry, attend meetups, and engage on platforms like LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data solutions, projects, and any AI-driven transformations you've contributed to. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your Python and SQL skills. Be ready to discuss your experience with tools like Databricks, Azure, and Snowflake. Practice common interview questions and think about how your past work aligns with the role.
✨Tip Number 4
Don't forget to apply through our website! We make it easy for you to find roles that match your skills and interests. Plus, it shows you're serious about joining our team and contributing to AI-driven business transformation.
We think you need these skills to ace Senior Data Engineer & AI Analytics Consultant
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, SQL, and any relevant tools like Databricks or Azure. 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. We love seeing candidates who can connect their personal experiences to our mission.
Showcase Relevant Projects: If you've worked on projects that involved data solutions in finance or supply chain, make sure to mention them! We’re interested in real-world applications of your skills, so share what you’ve done and the impact it had.
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. Think about challenges you've faced in finance or supply chain domains and how you tackled them. This will demonstrate your practical experience and analytical thinking.
✨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 thoughts on how they can impact business strategies.
✨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 in the role and helps you assess if it’s the right fit for you.
