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- 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 financial analytics platform and make an impact.
- Qualifications: Strong Python and SQL skills; familiarity with Azure or AWS.
The predicted salary is between 130000 - 130000 £ 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 (Software) in City of London employer: Formula.
Contact Detail:
Formula. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Engineer (Software) 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 dream role.
✨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 interviews by brushing up on common technical questions related to data engineering and AI/ML solutions. Practice explaining your past projects and how they relate to the job description – confidence is key!
✨Tip Number 4
Don't forget to apply through our website! We want to see your application and help you get your foot in the door. Plus, it’s a great way to ensure your CV lands in the right hands.
We think you need these skills to ace Senior Engineer (Software) 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 Stack
Make sure you’re well-versed in Python and SQL, as these are crucial for the role. Brush up on your knowledge of Azure or AWS, and be ready to discuss any ML frameworks you've worked with, like scikit-learn or TensorFlow.
✨Showcase Your Projects
Prepare to talk about specific projects where you've built data pipelines or implemented AI/ML solutions. Highlight your role in these projects and the impact they had on the team or company.
✨Collaboration is Key
Since the role involves working with analysts and PMs, be ready to discuss how you’ve collaborated in the past. Share examples of how you’ve communicated technical concepts to non-technical stakeholders.
✨Ask Insightful Questions
Prepare some thoughtful questions about the company’s financial analytics platform and their approach to data engineering. This shows your genuine interest and helps you assess if it’s the right fit for you.