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 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 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: Cyber Security training courses
As a Data & AI Engineer, you will thrive in a dynamic and inclusive work environment that champions collaboration and innovation. With access to structured career development and training opportunities, you'll 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 data and AI initiatives.
Contact Details:
Cyber Security training courses Recruitment 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 love seeing real-world applications of your work, so make sure to highlight any cool stuff you've built or contributed to.
✨Tip Number 3
Prepare for those interviews! Brush up on your Python and SQL skills, and be ready to discuss your experience with cloud platforms. We want to see how you can tackle real problems, so practice explaining your thought process.
✨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 on the lookout for passionate candidates who are eager to make an impact in the data and AI space.
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, Python, and SQL. We want to see how your skills match what we're looking for!
Showcase Your Projects:Include any relevant projects you've worked on, especially those involving AI or data analytics. This gives us a glimpse of your hands-on experience and problem-solving skills.
Craft a Compelling Cover Letter:Your cover letter should tell us why you're excited about this role at StudySmarter. Share your passion for data and how you can contribute to our team. Keep it engaging and personal!
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!
How to prepare for a job interview at Cyber Security training courses
✨Know Your Data Inside Out
Make sure you’re well-versed in the data technologies mentioned in the job description. Brush up on your Python and SQL skills, and be ready to discuss how you've built and maintained data pipelines in the past. Having specific examples at hand will show that you can walk the talk.
✨Showcase Your Problem-Solving Skills
Prepare to discuss real-world problems you've solved using data engineering techniques. Think about challenges you've faced with data quality or performance and how you optimised solutions. This will demonstrate your analytical mindset and ability to tackle complex issues.
✨Communicate Like a Pro
Since you'll be working with non-technical stakeholders, practice explaining technical concepts in simple terms. You might be asked to describe a project or a solution you’ve worked on, so make sure you can convey your ideas clearly and effectively.
✨Get Familiar with Generative AI
As the role involves building Generative AI solutions, do some research on large language models and prompt/context engineering. Being able to discuss these topics confidently will set you apart and show your enthusiasm for the latest trends in data and AI.
