At a Glance
- Tasks: Lead the design of scalable data infrastructure for real-time products and analytics.
- Company: Fast-growing fintech with a focus on engineering excellence and innovation.
- Benefits: Competitive salary, hybrid working in London, and opportunities for impact.
- Other info: Collaborative environment with a focus on modern technologies and career growth.
- Why this job: Shape the future of cloud data platforms and influence engineering best practices.
- Qualifications: Strong Python and SQL skills, experience with Snowflake and dbt, leadership abilities.
The predicted salary is between 60000 - 80000 £ per year.
Lead Data Engineer - Python, Snowflake, dbt - Fin Tech Platform Our client, a fast-growing fintech, is looking for a Lead Data Engineer to play a key role in shaping the next generation of its cloud data platform.
This is an opportunity to lead the design and delivery of scalable data infrastructure that underpins real‑time products, analytics, and AI‑driven capabilities, while influencing technical direction and engineering best practices across the team.
You'll join a collaborative, engineering‑first environment where you'll have genuine ownership, work with modern technologies, and help build a platform that supports the company's continued growth.
Tech
Stack: Python, SQL, Snowflake, dbt, Kafka, Postgre SQL, AWS, Docker, Kubernetes, Terraform, Airflow (or similar orchestration tools), with Prometheus and Grafana for monitoring and observability.
Requirements Strong Python engineering experience, including software engineering best practices, testing, and CI/CD.
Deep expertise in SQL, data modelling, and building scalable cloud data platforms.
Hands‑on experience with Snowflake and dbt in production environments.
Experience designing and maintaining robust data pipelines and event‑driven architectures.
Good understanding of distributed systems and real‑time data processing, with Kafka experience highly desirable.
Proven ability to lead technical initiatives, mentor engineers, and influence engineering standards.
Bachelor's degree in Computer Science, Software Engineering, Data Engineering, or a related discipline.
In return, you'll receive a competitive salary, hybrid working in London, and the opportunity to make a tangible impact within a business that values engineering excellence, modern technology, and continuous innovation. #J-18808-Ljbffr
