Data Infrastructure & AI Engineer β€” Next-Gen DB & AI in Edinburgh

Data Infrastructure & AI Engineer β€” Next-Gen DB & AI in Edinburgh

Edinburgh Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
European Tech Recruit

At a Glance

  • Tasks: Design and develop cutting-edge database systems and AI data solutions.
  • Company: Leading telecommunications company in vibrant Edinburgh.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Exciting projects in a dynamic environment with great career prospects.
  • Why this job: Join a forward-thinking team and shape the future of data and AI.
  • Qualifications: Master's or PhD in relevant fields with strong programming skills.

The predicted salary is between 60000 - 80000 Β£ per year.

European Tech Recruit is collaborating with a leading telecommunications company in Edinburgh to find a skilled Data Infrastructure and AI Engineer. This role involves designing components for database management systems, researching query execution techniques, and developing AI-oriented data solutions.

The ideal candidate will possess a Master's or PhD and have a strong background in computer and database systems. Proficiency in programming languages such as C, Python, and deep learning interfaces is essential.

Interested candidates may apply directly via LinkedIn or send their CV to nh@eu-recruit.com.

Data Infrastructure & AI Engineer β€” Next-Gen DB & AI in Edinburgh employer: European Tech Recruit

Join a leading telecommunications company in Edinburgh, where innovation meets opportunity. With a strong commitment to employee growth, we offer a collaborative work culture that encourages creativity and professional development. Enjoy competitive benefits and the chance to work on cutting-edge AI and data infrastructure projects in a vibrant city known for its rich history and dynamic tech scene.

European Tech Recruit

Contact Details:

European Tech Recruit Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Infrastructure & AI Engineer β€” Next-Gen DB & AI in Edinburgh

✨Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like European Tech Recruit!

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✨Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like European Tech Recruit.

✨Apply Directly through Our Website

When you find a suitable opening like Data Infrastructure & AI Engineer β€” Next-Gen DB & AI at European Tech Recruit, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Infrastructure & AI Engineer β€” Next-Gen DB & AI in Edinburgh

Python
SQL
Problem-Solving Skills
Data Engineering
Communication Skills
Data Pipeline Development
API Integration

Some tips for your application 🫑

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at European Tech Recruit, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at European Tech Recruit. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at European Tech Recruit

✨Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

✨Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

✨Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at European Tech Recruit!

✨Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.