Payrails

HQ
Berlin
104 Total Employees

Jobs at Payrails

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Recently posted jobs

4 Days AgoSaved
Hybrid
Dublin, IRL
Fintech • Payments • Software • Financial Services
Develop and execute content strategy for enterprise audiences, translating complex payment technology into clear, compelling narratives. Shape brand voice, editorial standards, and content systems while collaborating with Product, Marketing, and Sales on launches and go-to-market initiatives. Create and edit high-quality content, use AI tools to accelerate research and production, and ensure published work supports business goals, customer understanding, and market positioning.
6 Days AgoSaved
Hybrid
Berlin, DEU
Fintech • Payments • Software • Financial Services
Develop and execute content strategy for an enterprise payments software company. Translate complex technical and product concepts into clear content, shape brand voice and narratives, collaborate with Product, Marketing, and Sales, and build scalable editorial guidelines and systems. The role covers content planning, writing, editing, quality assurance, launches, case studies, landing pages, and blog content while using AI tools to accelerate research and production.
One Month AgoSaved
Hybrid
Cairo, EGY
Fintech • Payments • Software • Financial Services
Develop and maintain the data warehouse, curated analytics datasets, and dbt codebase. Integrate third-party data sources, build tooling and infrastructure, and create scalable data models for self-service analytics. The role partners cross-functionally to promote data engineering best practices, documentation, testing, reproducibility, and trusted data across the organization.
One Month AgoSaved
Hybrid
Cairo, EGY
Fintech • Payments • Software • Financial Services
Build and maintain scalable batch and real-time data pipelines, data infrastructure, and data products. The role involves data governance, security, quality, CI/CD, observability, and collaboration with analysts, data scientists, engineers, and cross-functional teams. Candidates should have extensive production data engineering experience, strong Python and SQL skills, database expertise, and experience with Airflow, Docker, and Kubernetes. Streaming technologies and Terraform are advantageous.