At a Glance
- Tasks: Design and build cloud-native data platforms for analytics and AI.
- Company: Join Quilter, a forward-thinking company in the heart of Southampton or London.
- Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
- Other info: Collaborative environment with a focus on innovation and career development.
- Why this job: Be at the forefront of data engineering and make a real impact.
- Qualifications: Experience with Azure, Databricks, Terraform, and Python is essential.
The predicted salary is between 54000 - 66000 Β£ per year.
Quilter is seeking a Data Platform Engineer to join the Chief Data Office team in Southampton or London.
The role focuses on delivering cloud-native data platform capabilities that enable data engineering, reporting, analytics and AI workloads.
You will collaborate across teams to design scalable, secure platform features and drive improvements in deployment pipelines and observability.
The successful candidate will bring hands-on experience with Azure, Databricks, Terraform and Python, and will
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Cloud Data Platform Engineer β Azure, Databricks & AI in Southampton employer: Quilter
Quilter is an exceptional employer located in the vibrant city of Southampton, offering a dynamic work culture that fosters collaboration and innovation. As a Wealth Sales Consultant, you will benefit from flexible working arrangements, comprehensive training, and opportunities for professional growth within the financial services sector. With a strong focus on employee well-being, including a robust pension scheme and medical insurance, Quilter is dedicated to supporting your career while ensuring a rewarding work-life balance.
StudySmarter Expert Adviceπ€«
We think this is how you could land Cloud Data Platform Engineer β Azure, Databricks & AI in Southampton
β¨Get Involved in Data Science Meetups
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We think you need these skills to ace Cloud Data Platform Engineer β Azure, Databricks & AI in Southampton
Some tips for your application π«‘
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. Donβt 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 Quilter, 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 youβre 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 Quilter. 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 Quilter
β¨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!
β¨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, itβll really make us stand out!
β¨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 Quilter!
β¨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how weβd 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.