At a Glance
- 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: Jefferson Frank
As a Data & AI Engineer in Manchester, you'll join a forward-thinking technology team that values collaboration and innovation. The company fosters a supportive work culture with a strong emphasis on employee growth, offering structured career development and training opportunities. With the chance to work on high-impact projects and gain exposure to diverse industries, this role provides a meaningful and rewarding career path in a dynamic environment.
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. We all know that sometimes it’s not just what you know, but who you know that can help you land that Data Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI projects. We want to see what you can do, so make sure to highlight your best work when chatting with potential employers.
✨Tip Number 3
Prepare for those technical interviews! Brush up on your Python and SQL skills, and be ready to tackle some coding challenges. We recommend practicing common data engineering problems to boost your confidence.
✨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 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 Jefferson 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 past experiences with Python and SQL, and how you've tackled challenges in building scalable data models.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've approached complex data problems. Think about times when you had to optimise performance or ensure data quality, and be ready to explain your thought process clearly.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining technical concepts in simple terms. This will show that you can bridge the gap between tech and business, which is crucial for this role.
✨Familiarise Yourself with Generative AI
Given the focus on AI-powered capabilities, it’s a good idea to understand large language models and prompt engineering. Be prepared to discuss any relevant projects or ideas you have in this area, as it could set you apart from other candidates.
