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For Companies At a Glance
- Tasks: Design and build scalable data pipelines and AI solutions for impactful projects.
- Company: Leading organisation in Technology and Data, fostering innovation and collaboration.
- Benefits: Up to £40,000 salary, hybrid working, and structured career development.
- Other info: Collaborative culture with opportunities across various industries.
- Why this job: Join a dynamic team and work on enterprise-scale data and AI initiatives.
- Qualifications: Experience in data engineering, strong Python and SQL skills required.
The predicted salary is between 35000 - 40000 £ per year.
Location: Belfast (Hybrid Working)
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 Belfast 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 employer: Jefferson Frank
Contact Detail:
Jefferson Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer - Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your data pipelines, analytics projects, or any AI solutions you've built. This gives you a tangible way to demonstrate your expertise beyond just words on a CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data engineering and AI. Practice explaining complex concepts in simple terms, as you'll need to communicate effectively with non-technical stakeholders.
✨Tip Number 4
Don't forget to apply through our website! We love seeing candidates who are genuinely interested in joining our team. Plus, it helps us keep track of your application and get you into the right role faster.
We think you need these skills to ace Data Engineer - Belfast
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 engineering and how your background aligns with our mission at StudySmarter. Keep it concise but engaging – 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 interested in seeing how you’ve built scalable solutions or tackled complex data challenges. It’s all about demonstrating your hands-on experience!
Apply Through Our Website: We encourage you to apply directly 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 love seeing applications come in through our own channels!
How to prepare for a job interview at Jefferson Frank
✨Know Your Data
Make sure you brush up on your knowledge of data pipelines, datasets, and data models. Be ready to discuss your experience with Python and SQL, as well as any cloud data platforms you've worked with. This will show that you understand the technical requirements of the role.
✨Showcase Your Problem-Solving Skills
Prepare examples of how you've tackled complex data challenges in the past. Think about specific projects where you developed advanced analytics or AI solutions. This will demonstrate your analytical skills and ability to deliver practical solutions.
✨Communicate Clearly
Since you'll be working with non-technical stakeholders, practice explaining technical concepts in simple terms. You might want to prepare a few scenarios where you successfully communicated complex ideas to a non-technical audience.
✨Understand the Company’s Vision
Research the organisation's recent projects and their approach to technology-enabled transformations. Being able to discuss how your skills align with their goals will show your genuine interest in the role and the company.