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 Liverpool 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 hybrid working model based in Newcastle or Manchester, you will thrive in a collaborative and inclusive engineering culture that prioritises employee growth through structured career development and training opportunities. This role not only allows you to build practical, scalable solutions but also offers exposure to a diverse range of industries, making it an excellent place for meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI Engineer in Liverpool
✨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. This gives potential employers a taste of what you can do and makes you stand out 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 discussing your experience with Python, SQL, and cloud technologies.
✨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 and AI Engineer in Liverpool
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 projects related to data engineering or AI, make sure to include them in your application. We love seeing practical examples of your work, especially if they demonstrate your ability to build scalable solutions.
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 connect your technical skills with business outcomes. Research the company’s recent projects or initiatives in the data and AI space, and think about how your work can contribute to their goals. This will help you communicate effectively with both technical and non-technical stakeholders.
✨Prepare for Problem-Solving Questions
Expect to tackle some real-world problems during the interview. Practice explaining your thought process when faced with challenges related to data quality, performance optimisation, or integrating diverse data sources. This will demonstrate your analytical skills and problem-solving approach.
✨Showcase Your Collaborative Spirit
Since the role involves working closely with analysts and engineers, be prepared to discuss how you’ve successfully collaborated in past projects. Share examples of how you’ve communicated complex ideas to non-technical team members, as this will highlight your ability to work in a team-oriented environment.
