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Payrails is a global payment software company backed by top-tier investors (Andreessen Horowitz, HV Capital, EQT Ventures, General Catalyst) that helps enterprises manage and optimize their payment operations. The company is building a deeply integrated meta layer spanning the entire payment lifecycle with a modular architecture.
In this Senior Data Engineer role, you will be a core member of the data team, working alongside analysts, data scientists, and engineers to build data products and services that drive business decisions and product innovation. Your responsibilities will include:
- Design, develop, and maintain robust, scalable, and observable batch and real-time data pipelines that handle complex payment operations at global scale
- Architect and maintain the data infrastructure that underpins Payrails' platform
- Advocate for and implement data governance and security best practices across the organization
- Contribute to tooling and processes that improve data quality, CI/CD workflows, and data observability
- Collaborate with cross-functional teams to understand requirements and design optimal solutions
- Work in a hybrid environment based in New Cairo with a high-impact, fast-paced team
You will have the opportunity to shape a category-defining company from the ground up, with real ownership and freedom to build, test, and lead initiatives. The role offers exposure to complex problems affecting customers globally and the chance to work with highly ambitious engineers.
REQUIREMENTS:
- 5-7 years of extensive experience in data engineering roles building reliable, scalable, and observable production-grade data pipelines and services
- Strong proficiency in Python (GoLang experience is a plus)
- Proficiency in SQL and data modeling
- Experience operating common OLTP databases (e.g., PostgreSQL) and OLAP databases (e.g., Snowflake, BigQuery) at scale
- Experience developing and maintaining data pipelines using workflow management platforms such as Apache Airflow
- Knowledge of containerization technologies (Docker) and container orchestration platforms (Kubernetes)
- Effective communication skills and proficiency in English
- Ability to work independently and collaboratively in a fast-paced environment
- Advantage: Experience with real-time streaming technologies (Kafka, Kinesis) and distributed stream processing (Apache Flink, Apache Beam, Kafka Streams)
- Preferred: Familiarity with infrastructure as code tools (e.g., Terraform)
- Plus: FinTech or payments domain experience
