At a Glance
- Tasks: Build the Azure cloud platform from scratch and create trusted data foundations.
- Company: Join a new, independent commodities price-reporting business in London.
- Benefits: Competitive salary, dynamic start-up environment, and ownership of projects.
- Other info: Opportunity to build innovative technology from the ground up.
- Why this job: Be the first platform engineer and make a real impact in the commodities market.
- Qualifications: Strong Azure engineering skills with DevOps experience and knowledge of financial markets.
The predicted salary is between 70000 - 85000 £ per year.
A rare chance to become the first platform engineering hire at a new, independent commodities price-reporting business. You’ll build the Azure cloud platform from scratch and create the trusted data foundation behind globally assessed commodities prices. This is not generic data engineering: the core challenge is building immutable, fully evidenced data pipelines so every published price can be reproduced, traced and defended.
- Azure infrastructure and infrastructure-as-code
- Immutable raw-data capture, replay and reconstruction
- Kafka-compatible streaming, lakehouse foundations and Spark transformations
- Data lineage, quality controls, observability, retention and access controls
- The APIs and event schemas used by the pricing-engine team
We’re looking for a strong Azure engineer with DevOps / infrastructure-as-code depth, hands-on real-time market-data and FIX experience, and a background in regulated financial-markets environments. Most importantly, you will have built immutable, auditable data pipelines where the same inputs must always produce the same outcome. If you enjoy building rigorous technology from a blank sheet — with the pace and ownership of a genuine start-up — please get in touch.
Founding Azure Platform Engineer in London employer: Kite Human Capital
Join a dynamic commodities-focused financial-services firm in London, where you will have the unique opportunity to shape and lead the enterprise data-management capability from inception. Our collaborative work culture fosters innovation and accountability, providing ample opportunities for professional growth and development within a complex trading environment. With a commitment to employee well-being and a modern data-lake transformation, we offer a rewarding career path for those passionate about data stewardship and governance.
StudySmarter Expert Advice🤫
We think this is how you could land Founding Azure Platform Engineer in London
✨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 Kite Human Capital!
✨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 Founding Azure Platform Engineer at Kite Human Capital.
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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 Kite Human Capital.
✨Apply Directly through Our Website
When you find a suitable opening like Founding Azure Platform Engineer at Kite Human Capital, 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 Founding Azure Platform Engineer in London
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 Kite Human Capital, 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 Kite Human Capital. 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 Kite Human Capital
✨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 Kite Human Capital!
✨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.
