At a Glance
- Tasks: Build a cutting-edge AI-driven trading platform using Python and SQL.
- Company: Join a fast-growing FinTech Scale-Up with major global backing.
- Benefits: Competitive salary, career progression, and a dynamic work environment.
- Other info: Opportunity to progress into a Team Lead role in a supportive team.
- Why this job: Make a real impact by solving complex data challenges in finance.
- Qualifications: Strong Python and SQL skills; experience with Airflow, Snowflake, and dbt preferred.
The predicted salary is between 66150 - 80850 £ per year.
Our client, a FinTech Scale-Up, is building a brand-new AI-driven trading and market infrastructure platform and is hiring experienced Data Engineers to join a newly formed R&D engineering team in London. This is a greenfield opportunity to help design and build scalable data platforms from the ground up, supporting real-time trading, analytics, AI/ML workloads and market data services.
We're looking for a Senior Data Engineer with particularly strong Python and SQL skills. Ideally, you'll have experience with Airflow, Snowflake and dbt and a strong Computer Science or similar technical background. You'll have significant technical ownership from day one, working in a highly funded, fast-moving engineering environment with the stability, scale and resources of a major global financial institution behind you.
- Build a brand-new data platform from the ground up
- Work with Python, SQL, Airflow, Snowflake and dbt + more
- Solve complex data challenges across trading, AI and market infrastructure
- Work alongside highly experienced engineers and researchers
- Take ownership of key technical areas
- Clear opportunity to progress into a Team Lead role
If you're a Senior Data Engineer looking for the chance to build something new rather than maintain legacy platforms - and you're interested in progressing towards leadership - this is an opportunity worth exploring.
Senior/Lead Data Engineer (Python & SQL) - FinTech - New AI Platform employer: GL Global
As a Legal Counsel / Corporate Solicitor at our prestigious FTSE 100 organisation, you will thrive in a fully remote environment that champions flexibility and work-life balance. Our inclusive work culture fosters collaboration and innovation, providing ample opportunities for professional growth and development while engaging with senior stakeholders on high-profile international transactions. Join us to be part of a dynamic team where your expertise in M&A will be valued and rewarded.
StudySmarter Expert Advice🤫
We think this is how you could land Senior/Lead Data Engineer (Python & SQL) - FinTech - New AI Platform
✨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 GL Global!
✨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/Lead Data Engineer (Python & SQL) - FinTech - New AI Platform at GL Global.
✨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 GL Global.
✨Apply Directly through Our Website
When you find a suitable opening like Senior/Lead Data Engineer (Python & SQL) - FinTech - New AI Platform at GL Global, 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/Lead Data Engineer (Python & SQL) - FinTech - New AI Platform
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 GL Global, 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 GL Global. 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 GL Global
✨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 GL Global!
✨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.
