At a Glance
- Tasks: Design and build data platforms for real-time trading decisions.
- Company: Cross Atlantic Partners, a leader in Commodities Technology.
- Benefits: Competitive salary, dynamic work environment, and growth opportunities.
- Other info: Join a collaborative team and enhance your skills in a cutting-edge field.
- Why this job: Make an impact in a fast-paced, low-latency trading environment.
- Qualifications: Experience in data engineering and cloud-native technologies.
The predicted salary is between 65000 - 78000 £ per year.
Cross Atlantic Partners is seeking a Senior Data Engineer to join its Commodities Technology team in London.
You will design and build data platforms powering real-time trading decisions, working directly with traders and quantitative researchers.
You will own production systems in a fast-paced, low-latency environment, developing cloud-native, containerised data platforms and Python services.
This role emphasizes on-call responsibilities and high-impact data engineering solutions.
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Senior Data Engineer, Real-Time Commodities Tech employer: Cross Atlantic Partners
Cross Atlantic Partners is an exceptional employer, offering a dynamic and collaborative work culture in the heart of London City. As a rapidly growing recruitment firm, we provide our employees with unique opportunities for career progression, exposure to high-profile investment firms, and the chance to work with cutting-edge AI technology. Join us to be part of a team that values ambition, innovation, and a supportive environment where your contributions truly matter.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer, Real-Time Commodities Tech
✨Get Involved in Data Science Meetups
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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 Cross Atlantic Partners.
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We think you need these skills to ace Senior Data Engineer, Real-Time Commodities Tech
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 Cross Atlantic Partners, 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 Cross Atlantic Partners. 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 Cross Atlantic Partners
✨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 Cross Atlantic Partners!
✨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.
