At a Glance
- Tasks: Design and optimise scalable data pipelines and machine learning solutions.
- Company: Accenture UK, a leading tech consultancy in Newcastle upon Tyne.
- Benefits: Competitive salary, 25 days’ vacation, private medical insurance, and hybrid work model.
- Other info: Great opportunity for career growth in a collaborative environment.
- Why this job: Join a dynamic team and work on cutting-edge AI workflows.
- Qualifications: 3+ years experience in Python, SQL, and cloud services.
The predicted salary is between 50000 - 60000 € per year.
Accenture UK in Newcastle upon Tyne is seeking a Data & ML Engineer to design and optimize scalable data pipelines and machine learning solutions. The role involves working in a hybrid model at our Cobalt Business Park office and requires a minimum of 3 days a week onsite.
Ideal candidates will have at least 3 years of experience, strong skills in Python and SQL, and familiarity with cloud services.
This role offers a competitive salary and extensive benefits including 25 days’ vacation and private medical insurance.
Hybrid Data & ML Engineer — Pipelines, NLP & AI Workflows in Newcastle upon Tyne employer: Accenture UK
Accenture UK is an exceptional employer located in the vibrant Cobalt Business Park, Newcastle upon Tyne, offering a dynamic work culture that fosters innovation and collaboration. Employees benefit from a competitive salary, 25 days of vacation, and private medical insurance, alongside ample opportunities for professional growth in the rapidly evolving fields of data and machine learning. Join us to be part of a forward-thinking team that values your contributions and supports your career development.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data & ML Engineer — Pipelines, NLP & AI Workflows in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to current employees at Accenture or join relevant online communities. A friendly chat can give us insider info and might just get your foot in the door.
✨Tip Number 2
Show off your skills! Prepare a portfolio showcasing your data pipelines and machine learning projects. We want to see what you can do, so make it easy for them to be impressed!
✨Tip Number 3
Ace the interview! Research common questions for Data & ML Engineer roles and practice your answers. We need to demonstrate our expertise in Python, SQL, and cloud services confidently.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can track your progress and keep you updated on any exciting opportunities.
We think you need these skills to ace Hybrid Data & ML Engineer — Pipelines, NLP & AI Workflows in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with data pipelines and machine learning. We want to see how your skills in Python and SQL shine through, so don’t hold back!
Craft a Compelling Cover Letter:Your cover letter is your chance to tell us why you’re the perfect fit for this role. Share specific examples of your past work and how it relates to the job description. Let your personality come through!
Showcase Your Projects:If you've worked on any relevant projects, whether in a professional or personal capacity, make sure to mention them. We love seeing practical applications of your skills, especially in NLP and AI workflows.
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 us!
How to prepare for a job interview at Accenture UK
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've designed or optimised data pipelines, as well as any machine learning solutions you've implemented. This will show that you not only understand the theory but can apply it in real-world scenarios.
✨Familiarise Yourself with Cloud Services
Since the role requires familiarity with cloud services, do some research on the platforms mentioned in the job description. Be prepared to talk about your experience with these services and how you've used them to enhance data workflows. This will demonstrate your readiness for the hybrid model they’re offering.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving skills. Think of examples from your past work where you faced challenges in data engineering or machine learning. Practising how you would approach these situations can help you articulate your thought process clearly during the interview.
✨Show Enthusiasm for the Role
Let your passion for data and machine learning shine through! Research Accenture's projects and values, and be ready to explain why you're excited about this opportunity. A genuine interest in the company and the role can set you apart from other candidates.
