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- Tasks: Create robust data pipelines and innovative AI-driven solutions in a collaborative team.
- Company: Leading consultancy firm in the UK with a focus on innovation.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Why this job: Join a dynamic team and work on cutting-edge AI and data projects.
- Qualifications: Expertise in Python, SQL, and data visualisation tools like Power BI and Tableau.
- Other info: Great opportunity to enhance your skills and make an impact in the tech industry.
The predicted salary is between 48000 - 72000 £ per year.
A leading consultancy firm in the United Kingdom is seeking a Senior Data Engineer to create robust data pipelines and innovative AI-driven solutions. This role involves working in a collaborative team to develop machine learning models and data architectures within an AWS environment.
The ideal candidate has expertise in Python, SQL, and data visualization tools like Power BI and Tableau, along with excellent communication skills to work with both senior and non-technical stakeholders.
Senior Data Engineer — AWS, Power BI & Tableau, AI Pipelines in Uxbridge employer: Bangura Solutions
Contact Detail:
Bangura Solutions Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer — AWS, Power BI & Tableau, AI Pipelines in Uxbridge
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work at consultancy firms. A friendly chat can lead to insider info about job openings and even referrals.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI solutions. Use platforms like GitHub to share your projects, especially those involving AWS, Power BI, and Tableau. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your communication skills. Practice explaining complex technical concepts in simple terms. Remember, you'll be working with both techies and non-techies, so being clear is key!
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities that might just be perfect for you. Plus, it’s a great way to get noticed by our hiring team directly.
We think you need these skills to ace Senior Data Engineer — AWS, Power BI & Tableau, AI Pipelines in Uxbridge
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with AWS, Python, SQL, and data visualisation tools like Power BI and Tableau. We want to see how your skills align 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 engineering and how your background makes you a perfect fit for our team. Remember, we love a good story!
Showcase Your Communication Skills: Since you'll be working with both technical and non-technical stakeholders, it's crucial to demonstrate your ability to communicate complex ideas clearly. We appreciate candidates who can bridge the gap between tech and business!
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 don’t miss out on any important updates from our team!
How to prepare for a job interview at Bangura Solutions
✨Know Your Tech Inside Out
Make sure you brush up on your Python, SQL, and data visualisation tools like Power BI and Tableau. Be ready to discuss specific projects where you've used these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Collaborative Spirit
Since this role involves working in a team, be prepared to share examples of how you've successfully collaborated with both technical and non-technical stakeholders. Highlight your communication skills and how you adapt your approach based on your audience.
✨Demonstrate Your Problem-Solving Skills
Think of a few scenarios where you've had to create robust data pipelines or innovative AI-driven solutions. Be ready to explain your thought process and the steps you took to arrive at a solution, especially in an AWS environment.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company's data architecture and their approach to machine learning. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
