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- Tasks: Design and optimise data solutions while developing efficient data pipelines.
- Company: Global consulting firm known for innovation and transformation.
- Benefits: Competitive salary, collaborative environment, and opportunities for professional growth.
- Why this job: Join a team that values your ideas and drives impactful change in data engineering.
- Qualifications: Degree in Computer Science and strong skills in Python and SQL required.
- Other info: Exciting projects across various business domains await you!
The predicted salary is between 48000 - 72000 £ per year.
A global consulting firm is seeking a Data Engineer Senior Consultant to design and optimize data solutions in London. The ideal candidate will have a degree in Computer Science and experience with modern data engineering practices. You will work on developing data pipelines for various business domains, focusing on quality and efficiency. Strong skills in Python and SQL are essential. The position offers the opportunity to work in a collaborative environment that values innovation and transformation.
Senior Data Engineer & AI Transformation 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 Transformation Consultant in London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at local meetups. 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 engineering projects, especially those involving Python and SQL. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and scenarios. Practice explaining your thought process when designing data pipelines, as this will demonstrate your expertise and problem-solving skills.
✨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 show your interest in joining our innovative team.
We think you need these skills to ace Senior Data Engineer & AI Transformation Consultant in London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data engineering and showcases your skills in Python and SQL. We want to see how your background aligns with the role, so don’t be shy about mentioning relevant projects or achievements!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Data Engineer & AI Transformation Consultant role and how you can contribute to our innovative team. Keep it engaging and personal – we love a good story!
Showcase Your Problem-Solving Skills: In your application, highlight specific examples where you've designed or optimised data solutions. We’re looking for candidates who can demonstrate their ability to tackle challenges and improve efficiency, so don’t hold back on those success stories!
Apply Through Our Website: We encourage you to apply directly through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates. Plus, it shows you’re keen to join our team!
How to prepare for a job interview at Ernst & Young Advisory Services Sdn Bhd
✨Know Your Data Engineering Basics
Make sure you brush up on your data engineering fundamentals. Be ready to discuss modern practices, data pipeline design, and optimisation techniques. This will show that you’re not just familiar with the theory but can apply it in real-world scenarios.
✨Show Off Your Python and SQL Skills
Prepare to demonstrate your proficiency in Python and SQL during the interview. You might be asked to solve a problem or explain how you've used these languages in past projects. Have specific examples ready that highlight your skills and how they contributed to successful outcomes.
✨Understand the Business Context
Since you'll be working across various business domains, it’s crucial to understand how data solutions impact different areas. Research the firm’s clients and industries they serve. This knowledge will help you tailor your answers and show that you can think beyond just the technical aspects.
✨Emphasise Collaboration and Innovation
This role values a collaborative environment, so be prepared to discuss how you’ve worked in teams before. Share examples of how you’ve contributed to innovative solutions or transformations in previous roles. Highlighting your teamwork skills will resonate well with the interviewers.
