At a Glance
- Tasks: Design and optimise data platforms for critical healthcare services using AWS and Databricks.
- Company: Join CGI, a leader in innovative tech solutions for the healthcare sector.
- Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Collaborate with talented professionals in a dynamic and supportive environment.
- Why this job: Make a real difference in healthcare by driving innovation and improving outcomes.
- Qualifications: Experience with data architecture, AWS, and Databricks is essential.
The predicted salary is between 65250 - 79750 £ per year.
CGI is seeking a Data Architect to design, build, and optimise data platforms that underpin critical national services in the healthcare sector. You will work with AWS and Databricks to deliver scalable cloud-native solutions that improve outcomes, enhance decision-making, and drive innovation across the sector.
You will partner with architects and data engineers to shape technical direction, govern data models, and implement secure data governance while exploring modern patterns.
Healthcare Data Architect - AWS & Databricks, Hybrid in Leeds employer: Free-Work UK
Flotek Group is an exceptional employer, offering a dynamic work environment in Bridgend, St Asaph, or Plymouth, where employees are at the heart of our values-led business. With a focus on professional growth, we provide ample opportunities for learning and development within one of the UK's fastest-growing Managed Service Providers, alongside competitive benefits such as a staff share equity scheme and increasing holiday entitlement. Join us to be part of a passionate team dedicated to delivering world-class IT solutions while enjoying a supportive and collaborative culture.
StudySmarter Expert Advice🤫
We think this is how you could land Healthcare Data Architect - AWS & Databricks, Hybrid in Leeds
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Healthcare Data Architect - AWS & Databricks, Hybrid in Leeds
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 Free-Work UK, 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 Free-Work UK. 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 Free-Work UK
✨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
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✨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.
