Your team

At Payrails, data is at the core of everything we do. We don’t just analyze data; we turn it into actionable insights that fuel smarter decision-making and drive the future of our products. As we continue to revolutionize the payments industry we are seeking an exceptional Senior Data Engineer to help us in our mission.

Our tech team offers you the chance to work alongside a group of highly ambitious and knowledgeable Engineers, while being faced with complex problems that affect customers on a global scale.

How you will make an impact

• 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.

What we are looking for

• You have 5-7 years of 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.
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