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- Tasks: Design and build scalable data pipelines while developing AI solutions.
- Company: Join a leading organisation driving digital transformation in a collaborative environment.
- Benefits: Earn up to £38,000 with hybrid working and structured learning opportunities.
- Other info: Great career progression and skill development in a supportive team.
- Why this job: Kickstart your career in data and AI with impactful projects and modern technologies.
- Qualifications: Experience in data engineering or software development with strong Python and SQL skills.
The predicted salary is between 38000 - 38000 £ per year.
We are seeking a Data Engineer to support the design and delivery of modern data and AI solutions within a large, highly regulated organisation undergoing digital transformation. This role sits within a technology and data function focused on delivering business driven, cloud enabled solutions. You will play a key role in building scalable data pipelines, developing AI enabled capabilities, and supporting the delivery of high quality analytics solutions that drive business value.
This opportunity is ideal for someone early in their career with a strong foundation in data engineering or software development, who is passionate about data and AI. You will gain exposure to modern data platforms, machine learning and emerging technologies such as generative AI. You will work closely with analysts, engineers and business stakeholders, helping to translate requirements into robust technical solutions, while contributing to data quality, governance and performance optimisation.
Responsibilities- Design, build and maintain scalable data pipelines and datasets to support analytics and AI use cases
- Integrate data from multiple sources, ensuring consistency, quality and reliability
- Optimise data processing, storage and model performance for efficiency and scalability
- Develop and implement AI and machine learning models
- Support the development of generative AI solutions using large language models and prompt engineering
- Produce clear technical documentation covering pipelines, models and data structures
- Adhere to data governance, security and compliance standards
- Experience as a Data Engineer, Data Developer, AI Engineer or similar role
- Strong programming skills in Python and SQL
- Experience building data pipelines and working with structured and unstructured data
- Understanding of data modelling and data integration concepts
- Familiarity with machine learning or generative AI frameworks
- Salary of up to £38,000
- Hybrid working model (Belfast based)
- Structured learning and development with exposure to modern data and AI technologies
- Opportunity to work on large scale, impactful transformation programmes
- Supportive and collaborative team environment
- Strong focus on career progression and skill development
This is just a brief overview of the opportunity. To learn more, simply apply with your CV and we'll be in touch to discuss the role in more detail.
Data Engineer in Belfast employer: Cyber Security training courses
Contact Detail:
Cyber Security training courses Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Belfast
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with fellow data enthusiasts. 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, AI projects, or any relevant work. This gives potential employers a taste of what you can do and sets you apart from the crowd.
✨Tip Number 3
Prepare for interviews by brushing up on common data engineering questions and practical tasks. Practice coding challenges and be ready to discuss your past projects in detail. 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 hearing from passionate candidates who are eager to join our team.
We think you need these skills to ace Data Engineer in Belfast
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 technologies.
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're passionate about data and AI. Share specific examples of projects you've worked on that demonstrate your understanding of data engineering concepts.
Showcase Your Technical Skills: Don’t just list your skills; show us how you’ve applied them. If you've built scalable data pipelines or worked with machine learning models, include those details to give us a clear picture of your capabilities.
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 this exciting opportunity in our team!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Data Stuff
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with Python and SQL, as well as any projects where you've built data pipelines or worked with machine learning models. This will show that you’re not just familiar with the concepts but have practical experience too.
✨Showcase Your Problem-Solving Skills
Prepare to talk about specific challenges you've faced in previous roles and how you tackled them. Companies love candidates who can think critically and come up with innovative solutions, especially when it comes to optimising data processing and ensuring data quality.
✨Understand the Business Impact
Be ready to explain how your work as a Data Engineer can drive business value. Think about how your skills in building scalable data pipelines and integrating data can help the organisation achieve its goals, especially in a regulated environment undergoing digital transformation.
✨Ask Smart Questions
At the end of the interview, don’t forget to ask insightful questions about the team, the technologies they use, and their approach to data governance and compliance. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.