About the role

Engineering Manager at Teya leading a talented group of backend engineers. Driving the development of fraud detection systems in a collaborative FinTech environment.

Responsibilities

Lead and develop a team of backend engineers, fostering an environment of learning, accountability, and technical excellence.
Stay hands-on by contributing to architecture discussions, code reviews, and solving complex data and systems challenges.
Own the design and maintenance of data-intensive solutions spanning both the Data scope (analytical data lake) and the Platform scope (real-time and streaming data), using technologies such as Airflow, dbt, Kafka, and Flink.
Enable the operationalisation of FinCrime intelligence by building reliable tooling, APIs, and decision services that connect analytical models with production systems in close collaboration with Data Science and future MLOps capabilities.
Collaborate closely with FinCrime Intelligence (data scientists and data analysts), as well as Operations, Compliance, Product, and Platform teams, to deliver solutions that are scalable, compliant, and impactful.
Ensure code quality, security, and maintainability through clean architecture, observability, and thoughtful design patterns.
Manage performance and development through regular feedback, coaching, and structured reviews.
Contribute to defining the technical roadmap and shaping the team’s long-term engineering direction.
Support growth through hiring, onboarding, and capacity planning as the team scales.

1–3 years of experience managing or leading engineers (as an Engineering Manager or Tech Lead)
5+ years of hands-on backend engineering experience, ideally with Python and Java, or similar languages
Proven experience designing and operating data-intensive and event-driven systems, including real-time streaming pipelines and large-scale data flows
Strong understanding of Apache Kafka and event-driven architectures; Apache Flink or other stream-processing frameworks highly desirable
Proficiency in system design for high-throughput, low-latency, and regulated environments
Demonstrated ability to work closely with data scientists and analysts, translating analytical outputs into robust production systems
Excellent communication skills able to articulate technical trade-offs and align cross-functional stakeholders
Operates effectively in Agile, fast-moving, data-driven environments, balancing delivery pace with engineering quality
Pragmatic problem solver with a bias for action, strong ownership, and a continuous-improvement mindset

flexible working hours
Physical and mental health support through our partnership with GymPass giving free access to over 1,500 gyms in the UK, 1-1 therapy, meditation sessions, digital fitness and nutrition apps
extended and improved maternity and paternity leave choices
Cycle-to-Work Scheme
Health and Life Insurance
Pension Scheme
25 days of Annual Leave (+ Bank Holidays)
Office snacks every day
Friendly, comfortable and informal office environment in Central London