At a Glance
- Tasks: Design scalable data pipelines and machine learning solutions with cutting-edge tech.
- Company: Join Accenture, a leader in innovation and technology.
- Benefits: Enjoy 25 days of vacation, private medical insurance, and hybrid work flexibility.
- Other info: Dynamic role with opportunities for professional growth and development.
- Why this job: Make an impact by mentoring junior engineers and collaborating with clients.
- Qualifications: Minimum of 3 years experience in data and ML engineering.
The predicted salary is between 55000 - 70000 € per year.
Accenture is seeking a Data & ML Engineer in Newcastle upon Tyne. This role offers the opportunity to design scalable data pipelines and machine learning solutions while working with cutting-edge technologies. You’ll collaborate with clients, mentor junior engineers, and ensure compliance with security standards.
The position requires a minimum of 3 years of relevant experience, with a hybrid work model and an extensive benefits package that includes 25 days of vacation and private medical insurance.
Senior Data & ML Engineer — Hybrid (Newcastle) in Newcastle upon Tyne employer: Accenture
Accenture is an excellent employer that fosters a dynamic work culture in Newcastle, offering a hybrid work model that promotes flexibility and work-life balance. With a strong emphasis on employee growth, you will have the opportunity to mentor junior engineers and engage with cutting-edge technologies, all while enjoying a comprehensive benefits package that includes 25 days of vacation and private medical insurance.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data & ML Engineer — Hybrid (Newcastle) in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those at Accenture or similar companies. A friendly chat can sometimes lead to job opportunities that aren’t even advertised.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and machine learning projects. This is your chance to demonstrate what you can do beyond just a CV.
✨Tip Number 3
Prepare for the interview by brushing up on your technical knowledge and soft skills. Practice common interview questions and think about how you can highlight your experience in designing scalable solutions.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Senior Data & ML Engineer — Hybrid (Newcastle) in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience in designing data pipelines and machine learning solutions. 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 excited about the opportunity at Accenture and how your background makes you a perfect fit for the Senior Data & ML Engineer role.
Showcase Your Collaboration Skills:Since this role involves working closely with clients and mentoring junior engineers, make sure to include examples of your teamwork and leadership experiences. We love seeing how you’ve made an impact in previous roles!
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets the attention it deserves. Plus, it’s super easy to do!
How to prepare for a job interview at Accenture
✨Know Your Tech Inside Out
Make sure you’re well-versed in the latest data engineering and machine learning technologies. Brush up on your knowledge of scalable data pipelines and be ready to discuss specific tools and frameworks you've used in past projects.
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges. Think about situations where you designed innovative solutions or optimised existing processes, as this will demonstrate your critical thinking and technical prowess.
✨Be Ready to Collaborate
Since this role involves working with clients and mentoring junior engineers, be prepared to discuss your experience in teamwork and leadership. Highlight any instances where you’ve successfully collaborated on projects or guided less experienced colleagues.
✨Understand Compliance and Security Standards
Familiarise yourself with the security standards relevant to data engineering. Be ready to discuss how you’ve ensured compliance in previous roles, as this is crucial for maintaining data integrity and client trust.
