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- Tasks: Design and optimise data solutions while building scalable data pipelines.
- Company: Global consulting firm focused on innovative analytics and AI-driven transformations.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team that shapes the future with cutting-edge data and AI solutions.
- Qualifications: Strong background in data engineering, Python, SQL, and cloud platforms like Azure and AWS.
- Other info: Be part of a mission to build a better working world.
The predicted salary is between 43200 - 72000 £ per year.
A global consulting firm is seeking a highly skilled Data Engineer Senior Consultant in London. The role involves designing and optimizing data solutions, building scalable data pipelines, and collaborating with AI teams.
Candidates should have a strong background in data engineering, programming skills in Python and SQL, and experience with cloud platforms like Azure and AWS.
This position allows you to contribute to innovative analytics and AI-driven business transformations. Join and help build a better working world.
Senior Data Engineer & AI Solutions Consultant employer: Ernst & Young Advisory Services Sdn Bhd
Contact Detail:
Ernst & Young Advisory Services Sdn Bhd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer & AI Solutions Consultant
✨Tip Number 1
Network like a pro! Reach out to your connections in the data engineering and AI space. Attend meetups or webinars, and don’t be shy about asking for introductions. You never know who might have the inside scoop on job openings!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data solutions and projects. Whether it’s a GitHub repo or a personal website, having tangible examples of your work can really set you apart from the competition.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with cloud platforms like Azure and AWS. Practice common interview questions and think about how you can demonstrate your problem-solving abilities.
✨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, applying directly can sometimes give you a leg up in the hiring process.
We think you need these skills to ace Senior Data Engineer & AI Solutions Consultant
Some tips for your application 🫡
Show Off Your Skills: Make sure to highlight your experience with data engineering, Python, SQL, and cloud platforms like Azure and AWS. We want to see how your skills align with the role, so don’t hold back!
Tailor Your Application: Take a moment to customise your CV and cover letter for this specific role. Mention how your past experiences can contribute to innovative analytics and AI-driven transformations. We love seeing candidates who put in the effort!
Be Clear and Concise: When writing your application, keep it straightforward and to the point. We appreciate clarity, so avoid jargon and make sure your key achievements stand out. This helps us get a quick grasp of your capabilities.
Apply Through Our Website: We encourage you to submit your application through our website. It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your Data Engineering Fundamentals
Brush up on your data engineering principles, especially around designing and optimising data solutions. Be ready to discuss your experience with building scalable data pipelines and how you've tackled challenges in previous projects.
✨Show Off Your Programming Skills
Since programming in Python and SQL is key for this role, prepare to demonstrate your coding skills. You might be asked to solve a problem on the spot, so practice common algorithms and data manipulation tasks beforehand.
✨Familiarise Yourself with Cloud Platforms
Make sure you’re well-versed in Azure and AWS. Be prepared to discuss specific projects where you’ve used these platforms, including any challenges you faced and how you overcame them. This will show your practical knowledge and adaptability.
✨Collaborate and Communicate
As collaboration with AI teams is part of the job, think of examples where you’ve worked cross-functionally. Highlight your communication skills and how you’ve contributed to innovative analytics or AI-driven transformations in past roles.
