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 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. With a hybrid working model, team members enjoy the flexibility of remote work while being part of a supportive and forward-thinking environment.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Data & ML Engineer — Pipelines, NLP & AI Workflows
✨Tip Number 1
Network like a pro! Reach out to current employees at Accenture or join relevant LinkedIn groups. A friendly chat can give us insider info and maybe even a referral!
✨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 shine!
✨Tip Number 3
Practice makes perfect! Get ready for those technical interviews by brushing up on Python, SQL, and cloud services. We can help you with resources to ace those coding challenges.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who take that extra step to connect directly with us.
We think you need these skills to ace Hybrid Data & ML Engineer — Pipelines, NLP & AI Workflows
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Python, SQL, and cloud services. We want to see how your skills align with the role, so don’t be shy about showcasing 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 Data & ML Engineer position and how your background makes you a perfect fit for our team at Accenture UK.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled challenges in data pipelines or machine learning. We love seeing candidates who can think critically and innovate solutions!
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 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 involves cloud services, do some research on the platforms mentioned in the job description. Whether it's AWS, Azure, or Google Cloud, be prepared to talk about your experience with these tools and how you've used them to enhance your data workflows.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve hypothetical problems related to data pipelines and machine learning. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and ability to tackle challenges effectively.
✨Show Enthusiasm for Hybrid Work
Since the position is hybrid, express your excitement about working both onsite and remotely. Share how you manage your time and productivity in a hybrid environment, and be ready to discuss how you would collaborate with team members in both settings.
