At a Glance
- Tasks: Lead the tech architecture and guide engineers in delivering impactful data-driven solutions.
- Company: Join a profitable, ethical fintech scale-up making a difference for small businesses.
- Benefits: Competitive salary, bonus, remote/hybrid work, and vibrant London office.
- Other info: Dynamic role with opportunities for growth in a collaborative environment.
- Why this job: Shape the future of lending with innovative technology and a customer-focused approach.
- Qualifications: Hands-on experience in Python, data engineering, and leading small teams.
The predicted salary is between 110000 - 150000 € per year.
Remote (UK based) or Hybrid working - Fantastic Central London Offices
We're partnered with a profitable, VC-backed, ethical fintech scale-up who are 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 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 IC 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 (ideal), TypeScript, GO or similar.
- Familiar with Data Engineering toolset – Snowflake/DBT/Postgres or similar data platforms.
- Experience designing and operating ML systems in production.
- Experience working with Data Science and Software Engineering teams.
- Experience coaching/leading a small team.
- A background in a highly numerical discipline and a generalist mindset with ability to operate across software, data and ML.
Burns Sheehan Ltd will consider applications based only on skills and ability and will not discriminate on any grounds.
Technical Lead - Data/ML Platform employer: Burns Sheehan
Join a dynamic and ethical fintech scale-up that prioritises both product innovation and customer satisfaction. With a strong focus on employee growth, this company offers a collaborative work culture where your technical leadership will directly impact the financial well-being of small businesses across the UK. Enjoy the flexibility of remote or hybrid working arrangements, alongside the opportunity to thrive in a supportive environment that values your contributions and fosters professional development.
StudySmarter Expert Advice🤫
We think this is how you could land Technical Lead - Data/ML Platform
✨Tip Number 1
Network like a pro! Reach out to your connections in the fintech space, especially those who work with data and ML. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or GitHub showcasing your Python projects or ML systems, make sure to share it during interviews. It’s a great way to demonstrate your hands-on experience and technical prowess.
✨Tip Number 3
Prepare for the technical grill! Brush up on your knowledge of data engineering tools like Snowflake and DBT. Be ready to discuss how you've used these in past roles, as it’ll show you’re the right fit for leading their tech direction.
✨Tip Number 4
Don’t forget to apply through our website! We’re all about making connections, and applying directly can give you an edge. Plus, it shows you’re genuinely interested in being part of our team!
We think you need these skills to ace Technical Lead - Data/ML Platform
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experience mentioned in the job description. Highlight your hands-on experience with Python and any relevant data engineering tools like Snowflake or DBT. We want to see how you fit into our tech-savvy world!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Share your passion for fintech and how your background aligns with our customer-oriented approach. Let us know why you're excited about the role and how you can contribute to our mission.
Showcase Your Leadership Skills:Since this is a technical lead position, don’t forget to mention your experience in coaching and leading teams. We’re looking for someone who can guide engineers while still being hands-on, so share examples of how you've balanced both!
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 it gets into the right hands. Plus, it shows you’re keen on joining our team at StudySmarter!
How to prepare for a job interview at Burns Sheehan
✨Know Your Tech Inside Out
Make sure you’re well-versed in Python and any other relevant technologies like TypeScript or GO. Brush up on your experience with data engineering tools such as Snowflake and DBT, as well as your understanding of ML systems. Being able to discuss specific projects where you've applied these skills will really impress.
✨Show Your Leadership Skills
Since this role involves guiding a small team, be prepared to share examples of how you've successfully led teams in the past. Talk about your coaching style and how you foster collaboration between engineering and product teams. Highlight any experiences where you’ve set technical direction and strategy.
✨Understand the Business Impact
This fintech scale-up is all about helping small businesses with their cash flow. Familiarise yourself with their customer-oriented approach and be ready to discuss how your technical decisions can directly impact customer interactions and business outcomes. Show that you’re not just a techie but also understand the bigger picture.
✨Prepare Questions That Matter
Interviews are a two-way street, so come armed with thoughtful questions. Ask about their current challenges in credit risk modelling or how they balance engineering with product development. This shows your genuine interest in the role and helps you gauge if the company is the right fit for you.
