Senior Data Engineer

at  Payrails

THE COMPANY

Payrails is an innovative technology company with a team that has many years of experience in the payment industry and a real-life understanding of the merchants’ needs. We have seen the complexity firsthand and we have learned from all the challenges we’ve faced. Now we want to help leading technology companies around the world accept payments and build financial services with minimal upfront investments.
Our vision at Payrails is to reimagine payments. We do this by removing heavy reliance on Engineering efforts using composable building blocks that put the control firmly in the hands of our customers. We exist to help our customers become more productive and flexible, impacting directly on their ability to grow.
We are joined in our mission by top-tier clients Andreessen Horowitz, HV Capital, EQT and General Catalyst alongside a great cast of knowledgeable angel investors to enable us to solve the growing complexity of payments.
At Payrails, we are committed to building a team full of the most talented people. Excellence is part of our values and we understand that in order to achieve this, we need to build an environment where skilled people can work openly, collaboratively, and with the utmost trust in one another. We believe people thrive the most when they are fully aware of what the business is trying to achieve, why it is important to the market, and what challenges lie in the way to reaching our goals. In such an environment we believe people can truly excel, grow and enjoy working together. We try hard to be a company where everyone is inspired and feels a sense of responsibility to do the right thing to help us bring our vision to life. Succeeding with us is about finding solutions to the most pressing problems and executing them effectively.

WHAT YOU WILL BE DOING

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

YOU’LL BE GREAT FOR THIS ROLE IF

• You have extensive experience in data engineering roles building reliable, scalable and observable production-grade data pipelines and services.
• You have strong proficiency in Python. Experience with GoLang is a plus.
• You are proficient in SQL, data modelling and operating common OLTP (e.g. PostgresSQL) and OLAP databases (e.g. Snowflake, Bigquery) at scale.
• You develop and maintain data pipelines using workflow management platforms such as Apache Airflow.
• You are knowledgeable of containerization technologies such as Docker and container orchestration platforms like Kubernetes.
• You communicate effectively and are proficient in English.
• You work independently and collaboratively in a fast-paced environment.
• Experience with real-time streaming technologies (e.g. Kafka, Kinesis) and distributed stream processing technologies (e.g. Apache Flink, Apache Beam, Kafka Streams) is an advantage.
• Familiarity working with infrastructure as code (e.g. Terraform) is preferred.
• FinTech or payments domain experience is a plus.