Senior Data Engineer

About Payrails

Payrails is a global payment software company helping leading enterprises take control of their payment operations and maximize performance. With deep experience in the payments space and firsthand knowledge of merchants’ challenges, we’ve seen how fragmented and inefficient these systems can become. We are now setting a new industry standard by giving enterprises more control, visibility, and flexibility than ever before.

Our vision is to reimagine payments from the ground up. We are building a deeply integrated meta layer with a modular architecture that spans the entire payment lifecycle—empowering leading brands to solve complex operational challenges, deliver seamless customer experiences, and scale efficiently.

We are backed by world-class investors including Andreessen Horowitz, HV Capital, EQT Ventures, and General Catalyst, who share our mission to simplify global payment complexity.

At Payrails, excellence is a way of working. We aim to build a team of exceptional people who thrive in an environment of trust, clarity, and shared purpose. We work collaboratively, value ownership, and stay focused on solving the problems that matter.

Your Team

Data is at the core of everything we do at Payrails. We don’t just analyze data — we turn it into actionable insights that fuel smarter decisions and drive our products forward. As we transform the payments industry, we are looking for an exceptional Senior Data Engineer to join our Data Team and help us unlock the full potential of data across all departments.

How You Will Make an Impact

• Work alongside analysts, data scientists, and engineers to build data products and services that meet business needs.
• Design, develop, and maintain robust, scalable, and observable batch and real-time data pipelines.
• Architect, build, and maintain Payrails’ data infrastructure.
• Advocate for and implement data governance and security best practices.
• Contribute to tooling that improves data quality, CI/CD workflows, and data observability.
• Collaborate cross-functionally to understand requirements and design optimal data solutions.

What We Are Looking For

• Extensive experience in data engineering, building reliable and scalable production-grade data pipelines and services.
• Strong proficiency in Python; GoLang experience is a plus.
• Proficiency in SQL, data modeling, and operating OLTP (e.g., PostgreSQL) and OLAP databases (e.g., Snowflake, BigQuery) at scale.
• Experience with workflow orchestration tools such as Apache Airflow.
• Knowledge of containerization technologies (e.g., Docker) and orchestration platforms (e.g., Kubernetes).
• Strong communicator with proficiency in English.
• Ability to work independently and collaboratively in a fast-paced environment.
• Experience with real-time streaming technologies (e.g., Kafka, Kinesis) and distributed stream processing tools (e.g., Flink, Beam, Kafka Streams) is an advantage.
• Familiarity with infrastructure-as-code (e.g., Terraform) is preferred.
• FinTech or payments industry experience is a plus.

What We Offer

• A high-impact, high-velocity environment with exceptionally talented colleagues.
• An opportunity to shape the story of a company and an industry category from the ground up.
• Real ownership with the freedom to build, test, and lead.
• A product trusted by top global brands.
• Visa and relocation support for you and your family when required.
• Hybrid work model with a central Berlin office.
• Regular team events, activities, and off-sites.
• Discounted Urban Sports Club membership.
• Competitive salary and equity package.
• 27 days of annual paid vacation.