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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 transformations.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Why this job: Join a team that drives impactful AI solutions and transforms businesses.
- Qualifications: Strong background in data engineering with Python, SQL, and cloud platforms.
- Other info: Dynamic role with the chance to shape the future of data-driven solutions.
The predicted salary is between 48000 - 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 in London 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 in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data solutions and projects. This is your chance to demonstrate your expertise in Python, SQL, and cloud platforms like Azure and AWS.
✨Tip Number 3
Prepare for those interviews! Brush up on common data engineering questions and be ready to discuss how you've tackled challenges in previous roles. Practice makes perfect, so get a friend to do mock interviews with you.
✨Tip Number 4
Don't forget to apply through our website! We love seeing applications directly from candidates who are excited about joining us. It shows initiative and helps us get to know you better.
We think you need these skills to ace Senior Data Engineer & AI Solutions Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in data engineering and programming skills, especially in Python and SQL. We want to see how your background aligns 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! Use it to explain why you’re passionate about data solutions and AI. We love seeing candidates who can articulate their vision for innovative analytics and business transformations.
Showcase Your Cloud Experience: Since this role involves working with cloud platforms like Azure and AWS, make sure to mention any relevant experience you have. We’re looking for candidates who can hit the ground running, so highlight your skills in building scalable data pipelines!
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 the role. Plus, it shows you’re keen on joining our team!
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 this role involves working with AI teams, highlight your collaboration skills. Think of examples where you successfully worked in a team setting, particularly in cross-functional environments. Good communication can set you apart!
