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- Tasks: Design and build data pipelines and AI solutions for impactful business use cases.
- Company: Join a forward-thinking tech company in Manchester with a collaborative culture.
- Benefits: Competitive salary up to £51k, hybrid work, and career development opportunities.
- Other info: Enjoy a supportive environment with structured training and progression paths.
- Why this job: Make a real impact on enterprise-scale data and AI initiatives across various industries.
- Qualifications: Experience in data engineering, strong Python and SQL skills, and problem-solving abilities.
The predicted salary is between 51000 - 51000 £ per year.
A Data & AI Engineer will design, build and maintain data pipelines, analytics platforms and AI-powered capabilities linked to high-impact business use cases. The role involves collaborating 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 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 data pipelines, analytics projects, or any AI solutions you've built. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and practising common interview questions. We recommend doing mock interviews with friends or using online platforms to get comfortable with the process.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
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!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data engineering and how you can contribute to our team. Keep it concise but impactful.
Showcase Your Projects: If you've worked on any relevant projects, make sure to mention them! Whether it's building data models or developing AI solutions, we love seeing real-world applications of your skills.
Apply Through Our Website: We encourage you to apply through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any updates from us!
How to prepare for a job interview at Nigel Frank
✨Know Your Data Pipelines
Make sure you can talk confidently about your experience with designing and building data pipelines. Be ready to discuss specific projects where you've integrated data from various sources, as this will show your practical knowledge and problem-solving skills.
✨Brush Up on Python and SQL
Since strong programming skills in Python and SQL are crucial for this role, we recommend reviewing key concepts and being prepared to solve coding challenges during the interview. Practising common SQL queries and Python scripts can really help you shine.
✨Showcase Your AI Knowledge
Familiarise yourself with generative AI solutions and large language models. Be prepared to discuss how you've applied machine learning or AI in past projects, as well as your understanding of prompt/context engineering. This will demonstrate your ability to contribute to high-impact initiatives.
✨Communicate Clearly
Remember that you'll need to explain technical concepts to non-technical stakeholders. Practise simplifying complex ideas and think of examples where you've successfully communicated your work to a diverse audience. This skill is key in collaborative environments.