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- Tasks: Lead the development of a cutting-edge data platform using MS Fabric.
- Company: Established business investing in data and AI capabilities.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Why this job: Shape the future of data and AI while making a real impact.
- Qualifications: Experience in data engineering and machine learning with leadership skills.
- Other info: Join a dynamic team focused on innovation and career advancement.
The predicted salary is between 60000 - 80000 £ per year.
We are working with a well-established business that is investing heavily in its data and AI capability and is now looking for a Senior Data & Machine Learning Engineer to play a key role in shaping their modern data platform. This is a senior, hands-on role where you will take ownership of a Fabric-centric data estate.
Senior Data & Machine Learning Engineer in Liverpool employer: Forward Role
Contact Detail:
Forward Role Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data & Machine Learning Engineer in Liverpool
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on 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 projects, especially those related to data and machine learning. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions and be ready to discuss your experience with MS Fabric and data platforms in detail.
✨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 ensure your application gets seen by the right people.
We think you need these skills to ace Senior Data & Machine Learning Engineer in Liverpool
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data and machine learning, especially any projects related to MS Fabric. 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 excited about this role and how you can contribute to shaping the modern data platform. Let us know what makes you the perfect fit for our team.
Showcase Relevant Projects: If you've worked on any relevant projects, make sure to mention them in your application. We love seeing real-world examples of your work, especially those that demonstrate your hands-on experience with data engineering and machine learning.
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 gives you a chance to explore more about us and what we do!
How to prepare for a job interview at Forward Role
✨Know Your MS Fabric Inside Out
Make sure you brush up on your knowledge of MS Fabric and its applications in data engineering. Be prepared to discuss how you've used it in past projects, as well as any challenges you've faced and how you overcame them.
✨Showcase Your Hands-On Experience
This role is all about being hands-on, so come ready to share specific examples of your work with data platforms. Highlight your experience in building and optimising data pipelines, and be ready to dive into the technical details.
✨Prepare for Problem-Solving Questions
Expect to face some scenario-based questions that test your problem-solving skills. Think about common issues in data engineering and machine learning, and prepare to explain your thought process and solutions clearly.
✨Demonstrate Leadership Qualities
As a senior engineer, you'll need to show that you can lead projects and mentor others. Be ready to discuss times when you've taken charge of a project or helped a colleague improve their skills, showcasing your leadership style.