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Backend Engineer – Data Marketplace
Отличная возможность для старта карьеры: работа в быстрорастущем стартапе с поддержкой топовых инвесторов (Y Combinator), сильная инженерная культура, менторство и современный стек технологий. Гибридный формат в Берлине и бюджет на саморазвитие делают вакансию крайне привлекательной.
Сложность вакансии
Позиция ориентирована на начинающих специалистов (early career), что снижает порог входа. Основная сложность заключается в необходимости работы с высоконагруженными системами на AWS и строгими требованиями к качеству кода в финтех-секторе.
Анализ зарплаты
Компания заявляет о компенсации 'top-of-market'. Для Junior/Entry-level позиций в Берлине рыночный диапазон составляет 50,000–65,000 EUR, однако Taktile, вероятно, предлагает верхнюю границу этого диапазона плюс опционы.
Сопроводительное письмо
I am writing to express my strong interest in the Backend Engineer position within the Data Marketplace team at Taktile. As an aspiring engineer with a solid foundation in Python and a passion for building scalable backend systems, I am drawn to Taktile’s mission of revolutionizing automated decisioning. Your focus on high-growth fintech solutions and the opportunity to work on complex API aggregators and AWS infrastructure aligns perfectly with my career goals and technical interests.
During my previous projects and coursework, I have developed a deep appreciation for clean code, rigorous testing, and the importance of reliable CI/CD pipelines. I am particularly excited about the prospect of contributing to your Data Marketplace, learning how to implement resilience patterns like idempotency and retries, and working within a hybrid team that values mentorship and flat hierarchies. I am eager to bring my proactive mindset and technical skills to help Taktile continue its impressive trajectory in the fintech space.
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Описание вакансии
About the role
Taktile is a high-growth, post product–market fit start-up, on a fast trajectory to becoming market leader in the field of automated decisioning.
As a backend engineer starting your career, you will contribute to the expansion and improvement of our Data Marketplace and integration engine. These systems enable customers to access, evaluate, and combine data providers at scale, powering millions of automated decisions every day. Your work will help banks, fintechs, and enterprises fight fraud, expand credit, and enable financial access.
You’ll learn by working alongside experienced engineers on API aggregators, AWS, and complex backend systems, and you’ll grow your skills in building reliable, scalable software. This role is ideal for someone who is motivated to learn quickly, thrives in collaborative environments, and wants to make an impact early in their career.
Taktile is a hybrid company. This role requires working at least 3 days per week from our Berlin HQ.
What you'll do
- Build and maintain backend components in Python on AWS—from integrations to orchestration layers—while learning best practices in code quality, testing, and keeping CI/CD fast and reliable.
- Support outcomes for the Data Marketplace: help onboard providers, implement versioning strategies, and contribute to efforts that reduce time-to-new-integration while maintaining reliability and cost-effectiveness.
- Follow and apply integration standards: learn to work with API contracts/SDKs, resilience patterns (idempotency, retries, backoff), and operational guardrails that scale to millions of daily decisions.
- Collaborate on projects from discovery to production launch—participating in RFCs, validating with prototypes, aligning stakeholders, and contributing to changes with observable impact.
- Improve reliability and performance: support SLOs, instrumentation (tracing/metrics/logging), dashboards, and runbooks while gaining hands-on experience in reducing latency and improving MTTR.
- Grow with mentorship: participate in design reviews, pair programming, and documentation efforts while learning from senior engineers.
- Collaborate in the open: join daily syncs, planning, demos, and deep-dives; work with Product, Security, and Customer teams to turn real-world needs into simple, robust solutions.
Requirements
- Hands-on experience programming in Python (through coursework, projects, or internships).
- Exposure to public cloud environments (AWS preferred).
- Fluency in English, both written and spoken, is essential as we operate in a hybrid environment requiring clear and effective communication.
- Strong foundational knowledge in computer science or software engineering and a passion for simplicity, quality, and ownership.
Ideal, but not required
- Exposure to serverless and event-driven architectures (e.g., Lambda, queues, streams).
- Basic observability practices (tracing, metrics, structured logging).
- Familiarity with AI-assisted development and code generation.
- Fintech domain exposure (KYC, credit bureaus, fraud-prevention APIs).
- Experience with internships, personal projects, or open-source contributions in backend development.
Our Offer
Work with colleagues that lift you up, challenge you, celebrate you, and help you grow. We come from many different backgrounds, but what we have in common is the desire to operate at the very top of our fields. If you are similarly capable, caring, and driven, you'll find yourself at home here.
Experience a truly flat hierarchy and communicate directly with founding team members. Having an opinion and voicing your ideas is not only welcome but encouraged, especially when they challenge the status quo.
Learn from experienced mentors and achieve tremendous personal and professional growth. Get to know and leverage our network of leading tech investors and advisors around the globe.
Receive a top-of-market equity and cash compensation package.
Get access to a self-development budget you can use to e.g. attend conferences, buy books or take classes.
Receive a new Apple MacBook Pro, as well as meaningful home office set-up.
Our Stance
We're eager to meet talented and driven candidates regardless of whether they tick all the boxes. We're looking for someone who will add to our culture, not just fit within it. We strongly encourage individuals from groups traditionally underestimated and underrepresented in tech to apply.
We seek to actively recognize and combat racism, sexism, ableism and ageism. We embrace and support all gender identities and expressions, and celebrate love in its many forms. We won't inquire about how you identify or if you've experienced discrimination, but if you want to tell your story, we are all ears.
About us
Taktile is building the world's leading software platform for running critical and highly-automated decisions. Our customers use our product to catch fraudsters, prevent money laundering, and expand access to credit for small businesses, among many other use cases. Taktile is already making millions of such decisions across the globe every day.
Taktile is based in Berlin, London, and New York City. It was founded by machine learning and data science veterans with extensive experience building and running production ML in financial services. Our team consists of engineers, entrepreneurs, and researchers with a diverse set of backgrounds. Some of us attended top universities such as Harvard, Oxford, and Stanford and some of us have no degree at all. We have accumulated extensive work experience at leading tech companies, startups, and the enterprise software sphere.
Our backers include Y Combinator, Index Ventures, and stellar angels such as the founders of Looker, GitHub, Mulesoft, Datadog, and UiPath.
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Навыки
- AWS
- Python
- CI/CD
- API
- Fintech
- Serverless
- AWS Lambda
- Observability
Возможные вопросы на собеседовании
Проверка базовых знаний Python и понимания структур данных, необходимых для обработки больших объемов данных.
Как бы вы реализовали эффективную обработку большого JSON-ответа от внешнего API в Python, чтобы минимизировать потребление памяти?
Оценка понимания принципов надежности, упомянутых в вакансии (idempotency, retries).
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Проверка опыта работы с облачной инфраструктурой AWS.
Опишите ваш опыт работы с AWS. Какие сервисы (например, Lambda, S3, EC2) вы использовали и для каких задач?
Оценка навыков работы в команде и процесса код-ревью.
Расскажите о случае, когда вы получили критический отзыв во время код-ревью. Как вы на него отреагировали и что изменили в своей работе?
Проверка интереса к финтех-домену и понимания продукта.
Как вы думаете, какие основные технические вызовы возникают при агрегации данных от множества различных провайдеров для оценки кредитных рисков?
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