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- Tasks: Design and develop systems for efficient financial data distribution.
- Company: Join an award-winning FinTech transforming capital markets with cutting-edge technology.
- Benefits: Competitive salary, bonus, 25 days leave, and hybrid work model.
- Why this job: Make a real impact in a high-performance data environment with innovative projects.
- Qualifications: 2+ years in software engineering, strong Python and SQL skills required.
- Other info: Enjoy team lunches, social events, and continuous learning opportunities.
The predicted salary is between 36000 - 60000 £ per year.
Join an award-winning FinTech that’s transforming how the world’s most sophisticated capital market participants harness and analyse data. This company delivers cutting-edge technology and analytics solutions that empower banks, asset managers, hedge funds and global exchange groups to optimise trading strategies and generate alpha at scale.
You’ll be part of a collaborative and inclusive culture where innovation and technical excellence are at the heart of everything. This is an exciting opportunity for a Software Engineer looking to make an impact within a high-performance data and analytics environment. Working in the Data Distribution team, you’ll help design and develop systems that distribute vast amounts of financial data efficiently, securely, and at scale.
You’ll play a critical role in developing APIs, workflow automation, and CI/CD pipelines — ensuring the reliability, performance, and scalability of the company’s data delivery systems.
- Develop API and system solutions that follow best engineering practices.
- Build and maintain CI/CD pipelines for continuous testing and deployment.
- Evaluate and integrate emerging tools and technologies in the data engineering space.
Requirements:
- Degree in Computer Science, Engineering, or a related STEM subject.
- ~2+ years’ experience as a Software Engineer (or Data Engineer with a software focus).
- Strong coding skills in Python and SQL.
- Understanding of distributed systems and Linux environments.
- Experience with AWS, Snowflake, or Databricks.
- Exposure to C/C++/C# or Java.
Benefits:
- Competitive salary + discretionary bonus.
- ~25 days annual leave + bank holidays.
- ~ Pension & private medical insurance.
- ~ Life insurance & wellbeing budget.
- ~ Hybrid model: 2–3 days per week in central London office.
- ~ Weekly team lunches, social events, and a stocked office kitchen.
- ~ Continuous learning and funded professional development.
If you’re passionate about data, distributed systems, and scalable software engineering, and want to join a fast-growing FinTech making waves in the global markets space — this is the perfect opportunity to level up your career.
Python Developer SQL Data AWS employer: Oho Group Ltd
Contact Detail:
Oho Group Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Python Developer SQL Data AWS
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with current employees at the company. A personal introduction can make all the difference when you're applying for that Python Developer role.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, and AWS. This gives you a chance to demonstrate your coding chops and problem-solving abilities beyond just a CV.
✨Tip Number 3
Prepare for technical interviews by brushing up on your coding skills and understanding distributed systems. Practice common algorithms and data structures, and be ready to discuss your experience with CI/CD pipelines and API development.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Python Developer SQL Data AWS
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the job description. Highlight your Python and SQL expertise, as well as any experience with AWS or data engineering. We want to see how you can contribute to our innovative team!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about data and software engineering. Share specific examples of your past work that align with our mission at StudySmarter and how you can help us transform the FinTech landscape.
Showcase Your Projects: If you've worked on relevant projects, whether in a professional setting or as personal endeavours, make sure to include them. We love seeing practical applications of your skills, especially in developing APIs or CI/CD pipelines. It gives us a glimpse into your hands-on experience!
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows your enthusiasm for joining our team at StudySmarter!
How to prepare for a job interview at Oho Group Ltd
✨Know Your Tech Stack
Make sure you’re well-versed in Python, SQL, and AWS. Brush up on your coding skills and be ready to discuss how you've used these technologies in past projects. It’s a great way to show your technical prowess and how you can contribute to their data delivery systems.
✨Understand the Company’s Impact
Research the company’s role in the FinTech space and how they help clients optimise trading strategies. Being able to articulate this during your interview will demonstrate your genuine interest and understanding of their mission, which is key for a collaborative culture.
✨Prepare for System Design Questions
Since you'll be involved in developing APIs and CI/CD pipelines, expect questions around system design and architecture. Practice explaining your thought process clearly and concisely, as this will showcase your problem-solving skills and ability to think critically under pressure.
✨Showcase Your Continuous Learning
With the emphasis on emerging tools and technologies, be prepared to discuss any recent learning experiences or projects. Whether it’s a new programming language or a tool like Snowflake, showing that you’re proactive about your professional development will resonate well with them.