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- Tasks: Lead technical architecture and guide engineers in delivering innovative data solutions.
- Company: Ethical fintech scale-up with a focus on customer-oriented product development.
- Benefits: Competitive salary, bonus package, remote/hybrid work options, and a vibrant office in London.
- Other info: Join a dynamic team with excellent growth opportunities and a positive workplace culture.
- Why this job: Make a real impact on small businesses' financing while working with cutting-edge technology.
- Qualifications: Hands-on experience in software/data engineering and familiarity with ML systems.
The predicted salary is between 110000 - 145000 £ per year.
A profitable, VC-backed, ethical fintech scale-up is helping hundreds of thousands of small businesses with their cash flow and financing. They use a customer-oriented, data-driven approach to product development and maintain a pragmatic balance between engineering and product throughout the business.
You will guide both the technical architecture and the engineers responsible for the delivery of the technology and models that determine their lending - e.g. who, how much, and on what terms. You'd set the direction of the engineering systems that underpin Credit Risk modelling including the platform, pipelines, and production systems around the models.
They're looking for someone product-minded, curious about customer interactions and data, who can create a close pragmatic bond with the product team. This is a hands-on technical leadership role, combining individual contributor work, line management (3-4 people), setting technical direction and strategy.
Core Requirements:- Experienced and still hands-on when it comes to software/data engineering - Python, TypeScript, GO or similar.
- Familiar with Data Engineering toolset - Snowflake/DBT/Postgres or similar data platforms.
- Experience designing and operating ML systems in production.
- A background in a highly numerical discipline and a generalist mindset with the ability to operate across software, data and ML.
Technical Lead in Chester employer: Burns Sheehan
Contact Detail:
Burns Sheehan Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Lead in Chester
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space or join relevant online communities. Engaging with others can lead to insider info about job openings and even referrals.
✨Tip Number 2
Prepare for those interviews! Research the company’s products and their approach to customer interactions. Being able to discuss how your experience aligns with their data-driven mindset will set you apart.
✨Tip Number 3
Show off your hands-on skills! Be ready to discuss specific projects where you've used Python or designed ML systems. Real-world examples will demonstrate your technical prowess and leadership capabilities.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Technical Lead in Chester
Some tips for your application 🫡
Tailor Your CV: Make sure your CV reflects the skills and experiences that match the Technical Lead role. Highlight your hands-on experience with Python and any relevant data engineering tools like Snowflake or DBT. We want to see how you can contribute to our customer-oriented, data-driven approach!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to explain why you're passionate about fintech and how your background aligns with our mission. Don’t forget to mention your experience in leading teams and your curiosity about customer interactions—this is key for us!
Showcase Your Projects: If you've worked on any relevant projects, make sure to include them! Whether it's a personal project or something from your previous job, we love seeing practical examples of your work, especially those involving ML systems or data pipelines.
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 gives you a chance to explore more about our company culture and values!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Inside Out
Make sure you brush up on your technical skills, especially in Python and any data engineering tools like Snowflake or DBT. Be ready to discuss your hands-on experience with ML systems and how you've applied these technologies in real-world scenarios.
✨Show Your Product Mindset
Since the role is product-oriented, think about how your technical decisions impact customer interactions. Prepare examples of how you've collaborated with product teams in the past and how you’ve used data to drive product development.
✨Demonstrate Leadership Skills
As a Technical Lead, you'll be guiding a small team. Be prepared to share your experiences in line management and how you've successfully led projects. Highlight your ability to balance technical direction with team dynamics.
✨Ask Insightful Questions
Interviews are a two-way street! Prepare thoughtful questions about the company's approach to data-driven product development and their vision for the future. This shows your genuine interest and helps you assess if it's the right fit for you.