At a Glance
- Tasks: Lead the evolution of data platforms for the $141 trillion debt market.
- Company: Fast-growing AI-powered fintech SaaS backed by top investors.
- Benefits: Competitive salary, equity options, and a dynamic work environment.
- Other info: Opportunity to grow a team and shape the future of data engineering.
- Why this job: Make a significant impact in modernising financial systems with cutting-edge technology.
- Qualifications: Experience in building data platforms using Python, SQL, and orchestration tools.
The predicted salary is between 70000 - 90000 £ per year.
Company Description
Series B AI-powered fintech SaaS
As Data Engineering Lead, you will own the technical direction of a platform centralising data for the $141 trillion debt capital market. You'll lead the evolution of ingestion, orchestration, and customer-facing APIs, transforming data into a reliable product capability for top tier investment banks and asset managers globally.
Location: London, UK
Key Takeaways:
- Significant impact at a fast-growing Series B scale up backed by Spark Capital and Highland Europe, with 400% ARR growth since Series A.
- Unique opportunity to modernise the $141 trillion debt market, moving trillions in trades from 1980s era systems to real time AI analytics.
- High agency environment where you own the platform end to end, growing a team from 1-2 to 4 engineers over the next 18 months.
Responsibilities:
- Own the production data platform architecture across AWS and GCP, ensuring operational reliability and industrialising customer facing data feeds.
- Define the data engineering operating model, setting standards for ingestion, CI/CD guardrails, and schema contracts to accelerate product delivery.
- Act as a hands on player coach, spending 75% of your time building and 25% mentoring talent to reduce key person dependency.
Qualifications:
- Proven experience building and scaling production grade data platforms using Python, SQL, and orchestration tools such as Dagster or Airflow.
- Strong track record of converting technical infrastructure improvements into measurable business outcomes, e.g., improved reliability and faster source onboarding.
- Demonstrated technical leadership in a startup or scale up environment with the ability to manage infrastructure as code and incident response.
Data Engineering Lead (£115k + Equity) at 9fin.com employer: Job Search Place Limited
At 9fin.com, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration. As a Data Engineering Lead in London, you'll have the unique opportunity to make a significant impact in the fintech space while enjoying competitive compensation, equity options, and a clear path for professional growth as you lead a talented team in modernising the debt capital market.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Lead (£115k + Equity) at 9fin.com
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We think you need these skills to ace Data Engineering Lead (£115k + Equity) at 9fin.com
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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How to prepare for a job interview at Job Search Place Limited
✨Brush Up on Your Statistics
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✨Get Comfortable with Python and R
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
