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 working, and career development opportunities.
- Other info: Opportunity to gain exposure to diverse industries and complex systems.
- 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 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, you will benefit from structured career development and training opportunities 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
✨Network Like a Pro
Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the field. 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.
✨Show Off Your Skills
Don’t just tell them what you can do; show them! Create a portfolio of your projects, especially those involving data pipelines or AI solutions. We recommend using platforms like GitHub to showcase your work. It’s a great way to demonstrate your programming skills in Python and SQL.
✨Ace the Interview
Prepare for technical interviews by brushing up on your problem-solving skills and understanding of data lifecycle concepts. We suggest practicing common interview questions related to data engineering and AI. Remember, being able to explain complex ideas simply is key!
✨Apply Through Our Website
When you find a job that excites you, apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always looking for passionate individuals to join our team and make an impact in the tech space.
We think you need these skills to ace Data and AI Engineer
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the Data & AI Engineer role. Highlight your programming skills in Python and SQL, and any experience with data pipelines or cloud platforms. We want to see how you can contribute to our team!
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 great fit for us. Don’t forget to mention specific projects or achievements that showcase your skills.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex problems in previous roles. We love seeing candidates who can think critically and come up with innovative solutions, especially in data-driven environments.
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 shows you’re keen on joining our team at StudySmarter!
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 practical experience and understanding of the technologies involved.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about situations where you had to integrate data from various sources or optimise performance. This will demonstrate your analytical abilities and how you approach problem-solving.
✨Communicate Clearly with Non-Techies
Since you'll be working with stakeholders who may not have a technical background, practice explaining your work in simple terms. Use analogies or relatable examples to convey complex concepts, showing that you can bridge the gap between tech and business.
✨Understand the Company’s Vision
Research the organisation's recent projects and their impact on the industry. Being able to discuss how your role as a Data & AI Engineer fits into their goals will show your enthusiasm and alignment with their mission, making you a more attractive candidate.
