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- Tasks: Design and build data pipelines and AI solutions for impactful business use cases.
- Company: Dynamic tech company in Manchester with a focus on innovation.
- Benefits: Competitive salary up to £51k, hybrid work, and career development opportunities.
- Other info: Inclusive culture with exposure to diverse industries and complex systems.
- Why this job: Join a collaborative team and work on cutting-edge data and AI projects.
- Qualifications: Experience in data engineering, strong Python and SQL skills required.
The predicted salary is between 51000 - 51000 £ per year.
As a Data & AI Engineer, you'll design, build and maintain data pipelines, analytics platforms and AI-powered capabilities all linked to high-impact business use cases. You'll collaborate closely with analysts, engineers and stakeholders to turn requirements into reliable, production-ready solutions.
Key Responsibilities
- Designing and building scalable data pipelines, datasets, and data models
- Integrating data from multiple structured and unstructured sources
- Developing advanced analytics, machine learning and AI solutions where appropriate
- Building Generative AI solutions using large language models and prompt/context engineering
- Ensuring data quality, reliability, and performance through testing and monitoring
- Optimising data and model performance for scale and efficiency
Required Experience & Skills
- Proven experience in a Data Engineer, Data Developer, AI Engineer, or similar role
- Strong programming skills in Python and SQL
- Experience building and maintaining data pipelines
- Exposure to cloud data platforms, data warehouses, or big data technologies
- Strong analytical and problem-solving skills
- Ability to communicate technical concepts to non-technical stakeholders
Why Apply?
- Work on high-impact, enterprise-scale data and AI initiatives
- Gain exposure to a wide variety of industries and complex systems
- Be part of a cooperative, inclusive engineering culture
- Access structured career development, training and progression opportunities
Data Engineer - Manchester employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Manchester
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with potential colleagues on LinkedIn. 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 data pipelines, analytics projects, or any AI solutions you've built. This gives you a chance to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills. Be ready to discuss your experience with Python, SQL, and cloud platforms. Practising common interview questions can help you feel more confident when it’s your turn to shine.
✨Tip Number 4
Don’t forget to apply through our website! We love seeing applications from passionate candidates who are eager to work on high-impact data and AI initiatives. Plus, it’s a great way to ensure your application gets noticed!
We think you need these skills to ace Data Engineer - Manchester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, Python, and SQL. We want to see how your skills match what we're looking for!
Showcase Your Projects: Include any relevant projects you've worked on, especially those involving AI or data analytics. This gives us a glimpse of your hands-on experience and problem-solving skills.
Craft a Compelling Cover Letter: Your cover letter should tell us why you're excited about this role at StudySmarter. Share your passion for data and how you can contribute to our team. Keep it engaging and personal!
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 Nigel Frank
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines, analytics platforms, and AI solutions. Be ready to discuss your previous projects and how you tackled challenges in building scalable data models. This will show your potential employer that you’re not just familiar with the concepts but have practical experience.
✨Show Off Your Coding Skills
Since strong programming skills in Python and SQL are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot or explain your thought process behind a piece of code. Practising common data engineering tasks can help you feel more confident during this part of the interview.
✨Communicate Like a Pro
You’ll need to explain technical concepts to non-technical stakeholders, so practice simplifying complex ideas. Use examples from your past work to illustrate your points. This will not only showcase your communication skills but also your ability to collaborate effectively within a team.
✨Prepare Questions About the Role
Interviews are a two-way street, so come prepared with insightful questions about the company’s data initiatives and the technologies they use. This shows your genuine interest in the role and helps you assess if it’s the right fit for you. Plus, it gives you a chance to engage with your interviewers on a deeper level.