At a Glance
- Tasks: Design and build data pipelines and AI solutions for impactful business use cases.
- Company: Join a tech company focused on innovation and collaboration.
- Benefits: Competitive salary, hybrid work model, and career development opportunities.
- Other info: Inclusive culture with exposure to diverse industries and systems.
- Why this job: Make a real impact with cutting-edge data and AI technologies.
- 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: Jefferson Frank
As a Data & AI Engineer, you'll thrive in a dynamic and inclusive work environment that champions collaboration and innovation. With access to structured career development and training opportunities, you will be empowered to grow your skills while working on high-impact projects across diverse industries. Join us in a hybrid role that not only offers competitive remuneration but also the chance to make a meaningful impact through cutting-edge technology.
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 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 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. Don’t forget to mention any relevant projects or achievements.
Showcase Your Problem-Solving Skills:In your application, give examples of how you've tackled complex data challenges in the past. We love seeing candidates who can think critically and come up with innovative solutions, especially when it comes to analytics and AI.
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 platform!
How to prepare for a job interview at Jefferson 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 specific projects you've worked on, especially those involving Python and SQL. This will show that you can not only talk the talk but also walk the walk!
✨Showcase Your Problem-Solving Skills
Prepare to share examples of how you've tackled complex data challenges in the past. Think about situations where you had to optimise performance or ensure data quality. This will demonstrate your analytical skills and ability to think critically under pressure.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining technical concepts in simple terms. You might get asked to describe a project or solution, so make sure you can convey your ideas clearly and effectively.
✨Familiarise Yourself with Generative AI
Given the focus on building Generative AI solutions, it’s a good idea to understand large language models and prompt engineering. Bring some insights or recent developments in this area to the table; it’ll show your enthusiasm and commitment to staying current in the field.
