Job Description

Hello! We're Teya.
Teya is a payment and software service provider, headquartered in London serving small, local businesses across Europe. Founded in 2019, we build easy to use, integrated tools that enable our members to accept payments and boost business performance.
At Teya we believe small, local businesses are the lifeblood of our communities.
We're here because we don't believe there's a level playing field that gives small businesses with a fighting chance against the giants of the high street.
We're here because we see banks and legacy service providers making things harder for them. We don't think the best technology or the best service should be reserved for those with the biggest headquarters.
We're here to fight for a future where small, local businesses can thrive, and to commit the same dedication they offer all of us.
Become a part of our story.
We're looking for exceptional talent to join our mission. We offer a chance to create impact in a high-energy and connected culture, while benefiting from continuous learning opportunities, a supportive community which is proud to serve our mission, and comprehensive benefits.
The FinCrime Platform Engineering team will provide the engineering backbone that enables the rollout of FinCrime analytics products across Teya. Its purpose is to design, build, and maintain decisioning services, integrations and tooling that power our fraud and AML detection capabilities ensuring that FinCrime analytics can be deployed reliably, securely, and at scale.
This team will work in close partnership with the FinCrime Intelligence team, which is composed of data scientists and data analysts responsible for developing the analytical models, metrics, and insights that detect and prevent financial crime. Together, both teams share the same stakeholders including Operations, Compliance, Product, and Risk and collaborate end-to-end to deliver the outcomes that protect Teya and its merchants. The Intelligence team focuses on analytical innovation, while the Platform Engineering team transforms those ideas into production-ready systems and services that operate seamlessly across real-time and batch environments.
As an Engineering Manager at Teya, you'll play a key role in shaping this new capability. You'll lead a small, talented group of backend engineers while remaining hands-on in solving complex technical challenges such as building the tooling and services that form the backbone of Teya's FinCrime analytical solutions. You'll guide engineers through real-time data challenges, mentor them in their growth, and foster a culture of excellence and ownership.
We're looking for someone curious, pragmatic, and technically strong ideally a backend engineer growing into management, passionate about designing scalable and reliable systems in the fast-paced world of FinTech compliance.
Your Mission
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.
Your Story
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.
Nice to have
Understanding of how machine-learning models are productionised and monitored, with experience partnering with Data Science or MLOps teams to deploy analytical solutions at scale.
Exposure to Financial Crime, Risk, or Regulatory domains (Fraud, AML, KYC, or Transaction Monitoring).
Familiarity with data governance, access-control, and auditability requirements in regulated FinTech environments.
The Perks
We trust you, so we offer flexible working hours, as long it suits both you and your team;
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;
Our company offers extended and improved maternity and paternity leave choices, giving employees more flexibility and support;
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.
Teya is proud to be an equal opportunity employer.
We are committed to creating an inclusive environment where everyone regardless of race, ethnicity, gender identity or expression, sexual orientation, age, disability, religion, or background can thrive and do their best work. We believe that a diverse team leads to better ideas, stronger outcomes, and a more supportive workplace for all.
If you require any reasonable adjustments at any stage of the recruitment process whether for interviews, assessments, or other parts of the application--we encourage you to let us know. We are committed to ensuring that every candidate has a fair and accessible experience with us.

Skills Required