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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. Collaboration with analysts, engineers and stakeholders is essential 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: Cyber Security training courses
Contact Detail:
Cyber Security training courses 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 beyond just a CV.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss how you've tackled real-world problems with data. Practice explaining complex concepts in simple terms for non-techies.
✨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. Get your application in and let’s make some magic happen!
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 directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it’s super easy!
How to prepare for a job interview at Cyber Security training courses
✨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 past experiences with Python and SQL, as well as any projects where you've integrated data from various sources.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've tackled complex data challenges in the past. Think about times when you optimised data performance or ensured data quality, and be ready to explain your thought process.
✨Communicate Like a Pro
Since you'll need to explain technical concepts to non-technical stakeholders, practice simplifying your explanations. Use analogies or relatable examples to demonstrate your ability to bridge the gap between tech and business.
✨Ask Insightful Questions
Prepare thoughtful questions about the company's data initiatives and the technologies they use. This shows your genuine interest in the role and helps you understand how you can contribute to their high-impact projects.