Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Join a team to build cutting-edge data pipelines and transformations in a modern FinTech environment.
- Company: Be part of a rapidly growing AI FinTech focused on innovative, data-driven solutions.
- Benefits: Enjoy a hybrid work model, modern tech stack, and a low-firefighting environment.
- Why this job: Shape a greenfield data platform and work with passionate data scientists and engineers.
- Qualifications: 2+ years of Python experience, strong SQL skills, and familiarity with DBT required.
- Other info: Ideal for tech enthusiasts with a GitHub profile showcasing projects and a passion for innovation.
The predicted salary is between 36000 - 60000 £ per year.
Python Data Engineer AI FinTech (DBT, SQL) – London / Hybrid Were hiring on behalf of a rapidly growing AI FinTech who are building the next-generation data-driven solutions. This is a brilliant opportunity for a hands-on Python Data Engineer with 2+ years\’ experience to join a modern, low-firefighting environment focused on clever, high-quality development – not legacy clean-up. As a core contributor to a greenfield data platform, youll work closely with data scientists and engineers to deliver clean, modular, production-grade data pipelines and transformations. Your work will influence how real-time financial data is captured, transformed, and utilised. Experience: Python (2+ years experience) : Strong scripting and implementation skills Confident with Pandas DBT : Regular use of DBT in current role (not just setup experience) Creating reusable DBT modules SQL : Comfortable writing, optimizing, and deploying SQL through DBT models Nice-to-Haves: Snowflake experience (ideal but not essential platform skills can be learned) Exposure to Airflow for orchestration Would Love to See: A Computer Science degree or similar technical background Active GitHub profile showcasing personal or collaborative projects Passion for tech and data beyond the 9-5 (side projects, contributions, or personal innovations) Why Join? Greenfield Development: No tangled legacy mess – help shape a clean, smart system from the ground up Modern Stack: Snowflake, DBT, Python, Airflow – no tech debt weighing you down Low-Firefighting Environment: Spend your time building, not fixing Quality Over Volume: Small but impactful data – live, intelligent, and real-time TPBN1_UKTJ
Python Data Engineer AI FinTech (DBT, SQL) - London / Hybrid employer: GL Global Limited
Contact Detail:
GL Global Limited Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Data Engineer AI FinTech (DBT, SQL) - London / Hybrid
✨Tip Number 1
Familiarise yourself with the latest features and best practices in DBT. Since the role requires regular use of DBT, showcasing your knowledge through personal projects or contributions can set you apart.
✨Tip Number 2
Engage with the Python and data engineering communities online. Participate in forums, attend webinars, or join local meetups to network with professionals in the field, which could lead to valuable connections and insights.
✨Tip Number 3
Build a portfolio that highlights your experience with Python, SQL, and DBT. Include specific examples of data pipelines or transformations you've created, as this will demonstrate your hands-on skills and problem-solving abilities.
✨Tip Number 4
Show your passion for tech and data by sharing your side projects on platforms like GitHub. An active profile with collaborative projects can impress potential employers and illustrate your commitment to continuous learning.
We think you need these skills to ace Python Data Engineer AI FinTech (DBT, SQL) - London / Hybrid
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience with Python, DBT, and SQL. Include specific projects or roles where you've used these technologies, especially in a data engineering context.
Craft a Compelling Cover Letter: In your cover letter, express your passion for AI and FinTech. Mention any relevant side projects or contributions to open-source that showcase your skills and enthusiasm for technology beyond your day job.
Showcase Your GitHub Profile: If you have an active GitHub profile, include it in your application. Highlight any personal or collaborative projects that demonstrate your coding skills and understanding of data engineering principles.
Highlight Relevant Experience: When detailing your work experience, focus on your hands-on experience with data pipelines and transformations. Emphasise your ability to create reusable DBT modules and your comfort with SQL optimisation.
How to prepare for a job interview at GL Global Limited
✨Showcase Your Python Skills
Be prepared to discuss your experience with Python in detail. Highlight specific projects where you've implemented Python solutions, especially focusing on scripting and data manipulation using libraries like Pandas.
✨Demonstrate DBT Proficiency
Since the role requires regular use of DBT, come ready to explain how you've created reusable DBT modules in your previous roles. Discuss any challenges you faced and how you overcame them to showcase your problem-solving skills.
✨SQL Knowledge is Key
Brush up on your SQL skills before the interview. Be ready to talk about how you've written, optimised, and deployed SQL through DBT models, as this will be crucial for the role.
✨Passion for Tech and Data
Share your enthusiasm for technology and data beyond your professional experience. Mention any side projects, contributions to open-source, or personal innovations that demonstrate your commitment to continuous learning and improvement.
