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For Companies At a Glance
- Tasks: Design and build data pipelines and AI solutions for impactful projects.
- Company: Leading tech organisation focused on data-driven transformations.
- Benefits: Competitive salary, hybrid work model, and career development opportunities.
- Other info: Opportunity to work across various industries and enhance your skills.
- Why this job: Join a collaborative team and work on cutting-edge data and AI technologies.
- 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 Engineer - Belfast in Leeds employer: Tenth Revolution Group
Contact Detail:
Tenth Revolution Group 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 folks 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 gig.
✨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 those technical interviews! Brush up on your Python and SQL skills, and be ready to solve problems on the spot. We recommend practicing with mock interviews to build your confidence.
✨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 cloud platforms. We want to see how you fit into 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 any relevant projects, whether personal or professional, 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 helps us keep track of applications and ensures you’re considered for the role. Plus, it’s super easy – just a few clicks and you’re done!
How to prepare for a job interview at Tenth Revolution Group
✨Know Your Data
Make sure you brush up on your data engineering fundamentals. Be ready to discuss your experience with building data pipelines and working with both structured and unstructured data. Highlight specific projects where you've successfully integrated data sources or optimised performance.
✨Showcase Your Programming Skills
Since strong programming skills in Python and SQL are crucial for this role, 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.
✨Communicate Clearly
You’ll need to translate complex technical concepts to non-technical stakeholders. Practice explaining your past projects in simple terms, focusing on the impact of your work rather than just the technical details. This will show that you can bridge the gap between tech and business.
✨Understand the Company’s Vision
Research the organisation's recent projects and their approach to data-driven solutions. Being able to discuss how your skills align with their goals will demonstrate your genuine interest in the role and help you stand out as a candidate who is not just looking for any job, but this job.