Senior Data Engineer

Posted 2 Days Ago
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Cairo, EGY
Hybrid
Senior level
Fintech • Payments • Software • Financial Services
The Role
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.
Summary Generated by Built In
About Payrails


Payrails is a global payment software company helping leading enterprises to 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, complex, and inefficient these systems can become. Now, we are setting a new industry standard for how enterprises around the world manage and optimize payments, with 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 that spans the entire payment lifecycle with a modular architecture. This helps us give leading brands building blocks to craft solutions to most complex operational challenges, tailor seamless customer experiences and grow their business.

We are backed by some of the world’s top investors including Andreessen Horowitz, HV Capital, EQT Ventures and General Catalyst, who share our mission to simplify payment complexity globally.

At Payrails, we’re committed to building a team of exceptional people - not just talented, but driven to build, solve, and deliver at the highest level. Excellence isn’t just a value here; it’s a way of working. We believe that great people thrive in environments where there’s trust, clarity, and shared purpose. We work openly and collaboratively, with deep respect for each other’s craft. Everyone is encouraged to understand the bigger picture - what we’re building, why it matters, and what stands in the way. When people have that context, they move faster, take ownership, and make better decisions. We care about creating a culture where people feel inspired to do their best work and a deep sense of responsibility to help us bring our vision to life. Success at Payrails means staying focused on the problems that matter most, and executing with purpose.

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.


What we offer

  • High impact and high velocity environment with the most talented and ambitious people you will ever work with

  • A chance to shape the story of a company and a category from the ground up

  • Real ownership. You’ll have the freedom and trust to build, test, and take lead

  • A product used by the best brands around the world

  • Hybrid working with an office in the heart of New Cairo

  • Regular team events, activities and off-sites

  • Competitive salary and equity package

  • 27 days of annual paid vacation

Skills Required

  • 5-7 years of experience in data engineering roles building reliable, scalable, observable production-grade data pipelines and services
  • Strong proficiency in Python
  • Proficiency in SQL and data modeling
  • Experience operating OLTP databases such as PostgreSQL at scale
  • Experience operating OLAP databases such as Snowflake or BigQuery at scale
  • Experience developing and maintaining data pipelines with workflow management platforms such as Apache Airflow
  • Knowledge of containerization technologies such as Docker
  • Knowledge of container orchestration platforms such as Kubernetes
  • Proficiency in English and effective communication skills
  • Ability to work independently and collaboratively in a fast-paced environment
  • Experience with GoLang
  • Experience with real-time streaming technologies such as Kafka or Kinesis
  • Experience with distributed stream processing technologies such as Apache Flink, Apache Beam, or Kafka Streams
  • Familiarity with infrastructure as code, such as Terraform
  • FinTech or payments domain experience
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The Company
HQ: Berlin
104 Employees

What We Do

Payrails is a global payment software company helping leading enterprises to take control of their payment operations and maximize performance. Payrails’ all-in-one platform spans the entire payment lifecycle with a modular architecture that includes payment orchestration, payouts, tokenization, unified analytics, automated reconciliation, and in-person payments, all powered by advanced data capabilities. Founded in Berlin in 2021, Payrails has raised over $52 million from the world’s top investors including Andreessen Horowitz, HV Capital, EQT Ventures and General Catalyst.

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