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: Up to £50,000 salary, hybrid work, and career development opportunities.
- Other info: Opportunity to work across various industries with excellent growth potential.
- 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 50000 - 50000 € per year.
Ensure that your CV is up to date, and that you have read the job specs first.
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 employer: Tenth Revolution Group
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 collaborative and inclusive engineering culture, employees benefit from structured career development and training opportunities, all while enjoying the flexibility of hybrid working in vibrant locations like Newcastle or Manchester. This is an excellent employer for those looking to grow their skills and make a meaningful impact in the field of data-driven solutions.
StudySmarter Expert Advice🤫
We think this is how you could land Data and AI Engineer
✨Tip Number 1
Network like a pro! Reach out to people in the industry on LinkedIn or at local meetups. 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 technical questions and scenarios related to data engineering and AI. Practising with a friend or using mock interview platforms can help you feel more confident.
✨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
Some tips for your application 🫡
Keep Your CV Fresh:Make sure your CV is up to date and tailored for the Data & AI Engineer role. Highlight your relevant experience, especially in data pipelines and AI solutions, so we can see how you fit into our team.
Read the Job Specs Carefully:Before hitting apply, take a good look at the job description. Understanding what we're looking for will help you align your skills and experiences with our needs, making your application stand out.
Show Off Your Skills:Don’t be shy about showcasing your programming skills in Python and SQL. If you've worked with cloud data platforms or big data technologies, make sure to mention that too – we love seeing those experiences!
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to receive your application and ensures you don’t miss any important updates from our team.
How to prepare for a job interview at Tenth Revolution Group
✨Know Your Tech Inside Out
Make sure you brush up on your programming skills, especially in Python and SQL. Be ready to discuss your experience with data pipelines and any cloud platforms you've worked with. The more you can demonstrate your technical know-how, the better!
✨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 AI solutions or optimised data performance. This will help you illustrate your analytical abilities and how you approach problem-solving.
✨Communicate Clearly
Since you'll need to explain technical concepts to non-technical stakeholders, practice simplifying your explanations. Use relatable analogies or examples to make your points clear. 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 impact on the industry. Knowing their goals and how your role as a Data & AI Engineer fits into their vision will help you align your answers during the interview and show your genuine interest in the position.
