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- Tasks: Design and build scalable data pipelines and AI solutions for impactful projects.
- Company: Leading organisation in Technology and Data, focused on innovation.
- Benefits: Competitive salary, hybrid working, and structured career development.
- Other info: Opportunity to gain exposure across various 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.
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.
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
- 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
Appointment to this role is subject to eligibility for and successful attainment of UK Security Check (SC) clearance.
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 Engineer - Belfast in Leeds employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Belfast in Leeds
✨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 Engineer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines and AI projects. We love seeing practical examples of your work, and it gives you a great talking point during interviews.
✨Tip Number 3
Prepare for technical interviews by brushing up on your Python and SQL skills. We recommend doing mock interviews with friends or using online platforms to get comfortable with the types of questions you might face.
✨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’re always looking for passionate individuals to join our team!
We think you need these skills to ace Data Engineer - Belfast in Leeds
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Data Engineer role. Highlight your programming skills in Python and SQL, and any experience with data pipelines or AI solutions. 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 engineering and how your background aligns with our mission at StudySmarter. Keep it concise but impactful – we love a good story!
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to mention them. We’re keen to see how you’ve designed and built data pipelines or AI solutions. Real-world examples can really set you apart!
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. Plus, it shows you’re serious about joining our team!
How to prepare for a job interview at Jefferson Frank
✨Know Your Data
Make sure you brush up on your data engineering concepts, especially around building scalable data pipelines and working with both structured and unstructured data. Be ready to discuss your past projects and how you've tackled challenges in these areas.
✨Show Off Your Coding Skills
Since strong programming skills in Python and SQL are a must, prepare to demonstrate your coding abilities. You might be asked to solve a problem on the spot, so practice common data manipulation tasks and be ready to explain your thought process.
✨Understand the Business Impact
Be prepared to talk about how your work as a Data Engineer can drive business decisions and innovation. Think of examples where your data solutions have led to tangible outcomes, and be ready to communicate these in a way that non-technical stakeholders can understand.
✨Get Familiar with AI and Cloud Technologies
Since the role involves developing AI solutions and working with cloud data platforms, make sure you’re up to speed on the latest trends and technologies in these areas. Be ready to discuss any relevant experience you have and how you can apply it to the role.