At a Glance
- Tasks: Lead the development of data integration pipelines and enhance data processing.
- Company: Dynamic global quant firm with a start-up vibe and established stability.
- Benefits: Competitive salary, bonuses, private medical, and generous parental leave.
- Other info: Great opportunities for growth and career progression in a lively environment.
- Why this job: Make a significant impact while working with cutting-edge data technologies.
- Qualifications: 3+ years as a Data Engineer with expertise in ETL/ELT pipelines.
The predicted salary is between 45000 - 55000 £ per year.
Leading global quant firm is looking for a pragmatic data engineer with experience of ETL/ELT pipelines to join the Vendor Data Group. Despite serving as the hub for managing the substantial operations across the UK, Europe and the Middle East, the London office retains a lively, positive environment of a start-up with the stability of a longer-established player.
You will be joining a very dynamic environment offering exposure to all aspects of the firm, as you collaborate with one of the trading teams to build and maintain mission-critical data integration pipelines and associated tools for alternative commodity and macro data. You’ll develop scalable data architectures and enhance data processing while optimizing workflows. Here, technology is viewed as crucial to their continued success.
The successful Senior Data Engineer will be passionate about data accuracy, and able to solve difficult technical problems in a real-time environment.
Requirements
- At least 3+ years’ experience as a Data Engineer
- Proficient in Python development, Devops, and Linux environments
- Expert-level experience in data pipeline development, specifically ETL/ELT pipelines
- Familiarity with data analytics tools and libraries, e.g. Pandas and NumPy
- Preferred Commodities and Macro alternative/fundamental data experience
- Skilled with relational and non-relational database management
Competitive base salary & bonus. Enormous opportunity to grow, learn and have a significant business impact. Contributions are rewarded; career progression supported. Substantial benefits package, including private medical, paid parental leave, group life assurance & parking/cycle schemes.
Senior Data Engineer employer: Oxford Knight
Join a market-leading global hedge fund in London, where innovation meets technology in a vibrant and collaborative work culture. As a Storage Engineer, you'll have the opportunity to work with cutting-edge tools and some of the brightest minds in the industry, all while enjoying a competitive salary, bonuses, and a supportive environment that fosters professional growth and development. This is not just a job; it's a chance to redefine storage infrastructure in a dynamic setting that values fresh ideas and technical excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Engineer
✨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 Oxford Knight!
✨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 Senior Data Engineer at Oxford Knight.
✨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 Oxford Knight.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Engineer at Oxford Knight, 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 Senior Data Engineer
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 Oxford Knight, 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 Oxford Knight. 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 Oxford Knight
✨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 Oxford Knight!
✨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.
