Backend Engineer – Data Marketplace
TaktileBerlin Office Posted 30 March 2026
Job Description
Backend Engineer – Data Marketplace
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 ... (truncated, view full listing at source)
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