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For Companies At a Glance
- Tasks: Design and build data pipelines and AI solutions for impactful business use cases.
- Company: Join a tech company that values collaboration and innovation.
- Benefits: Competitive salary up to £51k, hybrid work, and career development opportunities.
- Other info: Enjoy a supportive and inclusive engineering culture with growth potential.
- Why this job: Make a real difference in data and AI initiatives across various industries.
- Qualifications: Experience in data engineering, strong Python and SQL skills required.
The predicted salary is between 51000 - 51000 £ per year.
The Role
As a Data & AI Engineer, you'll design, build and maintain data pipelines, analytics platforms and AI-powered capabilities all linked to high-impact business use cases. You'll collaborate closely with analysts, engineers and stakeholders to turn requirements into reliable, 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
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 cooperative, inclusive engineering culture
- Access structured career development, training and progression opportunities
Data Engineer in Newcastle upon Tyne employer: Nigel Frank
Contact Detail:
Nigel Frank Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Engineer in Newcastle upon Tyne
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at 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 recommend using GitHub to share your code and demonstrate your programming prowess in Python and SQL.
✨Tip Number 3
Prepare for those interviews! Brush up on your technical knowledge and be ready to explain your past projects. We suggest practising common interview questions related to data engineering and AI solutions.
✨Tip Number 4
Don’t forget to apply through our website! We’ve got loads of opportunities waiting for you, and applying directly can sometimes give you an edge. Let’s get you started on your journey to becoming a Data & AI Engineer!
We think you need these skills to ace Data Engineer in Newcastle upon Tyne
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Data Engineer role. Highlight your experience with data pipelines, analytics platforms, and any AI projects you've worked on. We want to see how your skills match what we're looking for!
Showcase Your Skills: Don’t just list your programming skills in Python and SQL; give us examples of how you've used them in real projects. We love seeing practical applications of your knowledge, so let us know how you’ve tackled challenges in the past.
Be Clear and Concise: When writing your cover letter or application, keep it clear and to the point. We appreciate straightforward communication, especially when it comes to technical concepts. Make it easy for us to see why you're a great fit!
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 the role. Plus, it’s super easy – just follow the prompts!
How to prepare for a job interview at Nigel Frank
✨Know Your Data Inside Out
Make sure you brush up on your knowledge of data pipelines, analytics platforms, and AI solutions. Be ready to discuss your past experiences with Python and SQL, and how you've tackled challenges in building scalable data models.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've approached complex data problems. Think about times when you had to optimise performance or ensure data quality, and be ready to explain your thought process clearly.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining technical concepts in simple terms. This will show that you can bridge the gap between tech and business, which is crucial for this role.
✨Get Familiar with Generative AI
As this role involves building Generative AI solutions, do some research on large language models and prompt engineering. Being able to discuss these topics confidently will set you apart from other candidates.