At a Glance
- Tasks: Design and build data pipelines while implementing AI-powered solutions.
- Company: Join a forward-thinking company in Manchester with a collaborative culture.
- Benefits: Competitive salary up to £51k, hybrid work, and career development opportunities.
- Other info: Dynamic environment with great potential for career growth.
- Why this job: Be at the forefront of AI and data engineering, making a real impact.
- Qualifications: Proficient in Python and SQL, with experience in data engineering and AI.
The predicted salary is between 51000 - 51000 € per year.
Jefferson Frank is seeking a Data & AI Engineer for a hybrid role based in Manchester, England, offering a salary of up to £51k. This position involves designing, building, and maintaining data pipelines and analytics platforms, collaborating with various stakeholders to implement AI-powered solutions.
The ideal candidate will have solid programming skills in Python and SQL, along with experience in data engineering and AI technologies. Join a cooperative engineering culture with opportunities for career development.
Data & AI Engineer — Pipelines, ML & Generative AI in Manchester employer: Jefferson Frank
At Jefferson Frank, we pride ourselves on being an excellent employer, offering a collaborative and innovative work culture that empowers our Data & AI Engineers to thrive. Located in the vibrant city of Manchester, we provide competitive salaries, comprehensive career development opportunities, and a supportive environment that encourages continuous learning and growth in cutting-edge technologies. Join us to be part of a forward-thinking team dedicated to implementing impactful AI solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data & AI Engineer — Pipelines, ML & Generative AI in Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry 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 AI solutions. This will give potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on common technical questions related to Python, SQL, and data engineering. Practising with mock interviews can help us feel more confident when it’s time to shine.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search.
We think you need these skills to ace Data & AI Engineer — Pipelines, ML & Generative AI in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your programming skills in Python and SQL, as well as your experience with data engineering and AI technologies. We want to see how your background aligns 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 Data & AI Engineer position and how you can contribute to our team. We love seeing genuine enthusiasm and a clear understanding of the role.
Showcase Your Projects:If you've worked on any cool data pipelines or AI solutions, make sure to mention them! We appreciate candidates who can demonstrate their hands-on experience, so include links to your GitHub or any relevant portfolios if you have them.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of applications and ensures you get all the updates about your application status. Plus, it’s super easy!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Stack
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your programming skills and be ready to discuss specific projects where you've used these technologies.
✨Showcase Your AI Knowledge
Since the position involves AI-powered solutions, prepare to talk about your experience with AI technologies. Bring examples of how you've implemented machine learning or generative AI in past projects to demonstrate your expertise.
✨Understand Data Pipelines
Familiarise yourself with the design and maintenance of data pipelines. Be prepared to explain your approach to building efficient data workflows and how you’ve collaborated with stakeholders to achieve project goals.
✨Emphasise Collaboration Skills
This role requires working closely with various teams, so highlight your teamwork experiences. Share examples of how you’ve successfully collaborated with others to implement solutions, showcasing your ability to thrive in a cooperative engineering culture.
