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- Tasks: Design and maintain data pipelines and automation workflows for AI projects.
- Company: Global advertising agency with a focus on innovation and creativity.
- Benefits: Hybrid working, professional development, and a supportive work environment.
- Why this job: Join a dynamic team and contribute to exciting AI initiatives.
- Qualifications: Experience with workflow orchestration tools and RESTful APIs.
- Other info: Great opportunities for continuous learning and career growth.
The predicted salary is between 30000 - 42000 £ per year.
A global advertising agency is seeking a Data & Automation Engineer to join their AI team. In this hybrid role based in Manchester, you will design, build, and maintain data pipelines and automation workflows that power AI initiatives.
The ideal candidate will have experience with workflow orchestration tools, RESTful APIs, and a passion for continuous learning.
This position offers a supportive environment with attractive benefits such as hybrid working and professional development opportunities.
AI Data & Automation Engineer – Hybrid, Manchester employer: Havas Lynx
Contact Detail:
Havas Lynx Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land AI Data & Automation Engineer – Hybrid, Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the AI and data space on LinkedIn or at local meetups. 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 involving data pipelines and automation workflows. This will give potential employers a taste of what you can do and set you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of workflow orchestration tools and RESTful APIs. Practice common interview questions and think about how your experience aligns with the role. Confidence is key!
✨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 show your enthusiasm for joining our team.
We think you need these skills to ace AI Data & Automation Engineer – Hybrid, Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with data pipelines and automation workflows. 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 express your passion for AI and continuous learning. Let us know why you’re excited about this role and how you can contribute to our team.
Showcase Your Technical Skills: Mention any specific tools or technologies you’ve worked with, especially workflow orchestration tools and RESTful APIs. We love seeing candidates who are hands-on and ready to dive into the tech side of things!
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 Havas Lynx
✨Know Your Tech
Make sure you brush up on your knowledge of workflow orchestration tools and RESTful APIs. Be ready to discuss specific projects where you've used these technologies, as it shows you're not just familiar with them but have practical experience.
✨Show Your Passion for Learning
Since the role emphasises continuous learning, be prepared to share examples of how you've pursued new skills or knowledge in the past. This could be through online courses, personal projects, or even attending workshops.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems related to data pipelines and automation workflows. Practise articulating your thought process clearly, as this will demonstrate your analytical skills and problem-solving abilities.
✨Ask Insightful Questions
At the end of the interview, don’t shy away from asking questions about the team dynamics, the AI initiatives they’re working on, or the tools they use. This shows your genuine interest in the role and helps you assess if it's the right fit for you.
