At a Glance
- Tasks: Design and build scalable data pipelines and AI solutions for impactful projects.
- Company: Leading organisation in technology and data transformations.
- Benefits: Up to £50,000 salary, hybrid work, and career development opportunities.
- Other info: Opportunity for growth in a dynamic, inclusive environment.
- Why this job: Join a collaborative team and work on cutting-edge data and AI initiatives.
- Qualifications: Experience in data engineering, strong Python and SQL skills required.
The predicted salary is between 45000 - 50000 € per year.
Location: Newcastle or Manchester - Hybrid
Security Clearance: UK SC eligibility required
The Opportunity
We are supporting a leading organisation within the Technology and Data space that deliver large-scale, technology-enabled transformations. This team specialises in building modern, data-driven solutions that enable better decision-making, automation, and innovation. This role is ideal for a Data Engineer or AI Engineer who enjoys working across the full data lifecycle and wants to build practical, scalable solutions using modern data and AI technologies.
The Role
As a Data & AI Engineer, you will design, build and maintain data pipelines, analytical platforms and AI-enabled capabilities that support business-critical use cases. You will work closely with analysts, engineers, and stakeholders to translate requirements into robust, 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
Security & Compliance
Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance.
Working Model
Hybrid working with a Manchester or Newcastle base.
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 collaborative, inclusive engineering culture
- Access structured career development, training and progression opportunities
Data and AI Engineer in Manchester employer: Jefferson Frank
Join a leading organisation in the Technology and Data space, where you will have the opportunity to work on high-impact, enterprise-scale data and AI initiatives. With a collaborative and inclusive engineering culture, employees benefit from structured career development and training opportunities, all while enjoying the flexibility of hybrid working in vibrant locations like Newcastle or Manchester. This is an excellent employer for those looking to make a meaningful impact through innovative data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI Engineer in Manchester
✨Tip Number 1
Network like a pro! Reach out to people 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 & AI Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving data pipelines and AI solutions. We want to see your work in action, so make it easy for potential employers to see what you can do.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and problem-solving abilities. We recommend practicing common interview questions related to Python, SQL, and data engineering concepts. Confidence is key!
✨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. Let’s get you that Data & AI Engineer position!
We think you need these skills to ace Data and AI Engineer in Manchester
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the Data & AI Engineer role. Highlight your experience with data pipelines, programming in Python and SQL, and any relevant projects that showcase your skills in AI and analytics.
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data and AI, and how your background makes you a perfect fit for our team. Don’t forget to mention your problem-solving skills and ability to communicate with non-technical folks.
Showcase Your Projects:If you've worked on any cool data or AI projects, make sure to include them in your application. Whether it's a personal project or something from a previous job, we love seeing practical examples of your work!
Apply Through Our Website:We encourage you to apply through our website for the best chance of getting noticed. It’s super easy, and you’ll be able to keep track of your application status. Plus, we can’t wait to see what you bring to the table!
How to prepare for a job interview at Jefferson Frank
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built data pipelines or AI solutions, as this will show your hands-on experience and technical prowess.
✨Understand the Business Context
It's crucial to grasp how data and AI can drive decision-making in a business. Research the company’s industry and think about how your skills can help them solve real-world problems. This will help you communicate effectively with both technical and non-technical stakeholders.
✨Prepare for Scenario Questions
Expect questions that ask you to solve hypothetical problems or describe how you would approach certain tasks. Practise articulating your thought process clearly, especially when it comes to designing scalable solutions or optimising data performance.
✨Showcase Your Collaboration Skills
Since you'll be working closely with analysts and engineers, be prepared to discuss how you've successfully collaborated in the past. Share examples of how you’ve translated complex requirements into actionable solutions, highlighting your communication skills.
