Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Build and maintain scalable data pipelines and AI/ML solutions.
- Company: Fast-growing UK-based FinTech scale-up with a dynamic team.
- Benefits: Earn up to £500 per day, hybrid work, and rolling contract.
- Other info: Great opportunity for Data Analysts or Developers looking to pivot.
- Why this job: Join a cutting-edge team and make an impact in financial analytics.
- Qualifications: Strong Python and SQL skills; familiarity with Azure or AWS.
The predicted salary is between 50000 - 50000 £ per year.
A fast-growing UK-based FinTech scale-up is looking for 2x Contract AI & Data Engineers to join their financial analytics platform team. Haven't held the title yet? No problem... if you've been doing the work, we want to hear from you.
Responsibilities:
- Build and maintain scalable data pipelines and AI/ML solutions
- Develop, test, and deploy data models and machine learning workflows
- Implement reporting/data solutions to ensure visibility, accuracy, and integrity
- Collaborate with analysts, PMs, and operational teams to deliver features
Skills & Experience:
- Strong Python and SQL skills
- Familiarity with Azure or AWS
- Some exposure to ML frameworks (e.g. scikit-learn, TensorFlow, or PyTorch)
- Background in data engineering, analytics engineering, or similar
Desirables:
- ETL/ELT pipeline experience
- Microsoft Fabric / Data Lake knowledge
- BI tools (e.g. Power BI, Tableau)
- Financial services or payments experience
On Offer:
- £500.00 per day Outside IR35
- 3-month contract (rolling)
- Hybrid monthly - (UK)
A great opportunity for a Data Analyst moving into engineering, or a Developer pivoting into the data space - if the skills are there, the title doesn't matter.
Due to high volume of applications, not all applicants will receive feedback.
Senior Engineer - Testing in City of London employer: Formula.
Contact Detail:
Formula. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer - Testing in City of London
✨Tip Number 1
Network like a pro! Reach out to your connections in the FinTech space and let them know you're on the lookout for opportunities. A personal recommendation can go a long way in landing that interview.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your projects, especially those involving Python, SQL, or any ML frameworks you've worked with. This gives potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for the interview by brushing up on common technical questions related to data engineering and AI/ML solutions. We recommend practicing coding challenges and discussing your past experiences with data pipelines.
✨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 hearing from candidates who are genuinely excited about joining our team.
We think you need these skills to ace Senior Engineer - Testing in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your Python, SQL, and any relevant data engineering experience to catch our eye!
Craft a Compelling Cover Letter: Use your cover letter to tell us why you're the perfect fit for this role. Share specific examples of your work with AI/ML solutions or data pipelines that align with what we’re looking for.
Showcase Your Projects: If you've worked on any projects involving Azure, AWS, or ML frameworks, don’t forget to mention them! We love seeing real-world applications of your skills.
Apply Through Our Website: For the best chance of getting noticed, apply directly through our website. It helps us keep track of your application and ensures you’re considered for the role!
How to prepare for a job interview at Formula.
✨Know Your Tech Inside Out
Make sure you brush up on your Python and SQL skills before the interview. Be ready to discuss specific projects where you've built data pipelines or deployed machine learning models. The more detailed you can be about your experience, the better!
✨Showcase Your Problem-Solving Skills
Prepare to talk about challenges you've faced in previous roles, especially related to data engineering or analytics. Think of examples where you implemented solutions that improved accuracy or visibility in data reporting. This will demonstrate your ability to think critically and adapt.
✨Familiarise Yourself with the Tools
If you have experience with Azure, AWS, or any ML frameworks like TensorFlow or PyTorch, make sure to highlight that. Even if you haven't used them extensively, showing that you're familiar with these tools can set you apart from other candidates.
✨Understand the Company and Its Needs
Research the FinTech scale-up and understand their financial analytics platform. Knowing their mission and how your skills can contribute to their goals will help you tailor your answers and show genuine interest in the role.