Cloud Data Architect for AI-Ready Analytics in Glasgow

Cloud Data Architect for AI-Ready Analytics in Glasgow

Glasgow Full-Time 69750 - 85250 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Design and manage a scalable data warehouse for AI-ready analytics.
  • Company: Join Jazwares, a leader in innovative data solutions.
  • Benefits: Attractive salary, flexible work options, and growth opportunities.
  • Other info: Collaborative environment with a focus on innovation and teamwork.
  • Why this job: Shape the future of data strategy and impact AI initiatives.
  • Qualifications: Expertise in data warehousing, ETL/ELT, and cloud platforms required.

The predicted salary is between 69750 - 85250 £ per year.

Jazwares is seeking a Data Architect to design, build, and manage a scalable data warehouse architecture that supports BI, analytics, data apps, AI, and data science.

You will shape the data strategy, collaborating across departments to create a robust data ecosystem.

The ideal candidate brings deep expertise in data warehousing, modeling, ETL/ELT, and cloud platforms, and will partner with teams to enable reliable, high-quality data for decision making and future AI initiatives.

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Cloud Data Architect for AI-Ready Analytics in Glasgow employer: Jazwares

Jazwares is an excellent employer that prioritises employee well-being and professional growth, offering comprehensive medical insurance and a flexible work schedule to support work-life balance. Located in the vibrant city of Glasgow, the company fosters a collaborative work culture where IT Support Specialists can thrive, develop their skills, and contribute to innovative solutions in identity and security tools. Join us to be part of a dynamic team dedicated to providing exceptional support and enhancing the IT experience for all employees.

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Contact Details:

Jazwares Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Cloud Data Architect for AI-Ready Analytics in Glasgow

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 Jazwares!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Cloud Data Architect for AI-Ready Analytics at Jazwares.

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 Jazwares.

Apply Directly through Our Website

When you find a suitable opening like Cloud Data Architect for AI-Ready Analytics at Jazwares, 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 Cloud Data Architect for AI-Ready Analytics in Glasgow

Data Warehousing
Data Modelling
ETL/ELT Processes
Cloud Platforms
Business Intelligence (BI)
Analytics
Data Applications

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 Jazwares, 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 Jazwares. 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 Jazwares

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 Jazwares!

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.