Data Engineer - Flink Pipelines & DevOps (Hybrid)

0026 Checkout Technology Ltd; Greater London; Híbrido; GBP 60.000 - 80.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Hybrid working model offering flexibility

Descripción de la vacante

0026 Checkout Technology Ltd is looking for a data/software engineer to lead on Payment Lifecycle Flink jobs, migrating business logic into stream-processing jobs using Java or Python. The role involves ensuring pipeline health and utilizing Apache Iceberg for state management.

The ideal candidate has proven experience in data engineering, with hands-on experience in Flink and a familiarity with a modern DevOps stack. A hybrid working model is also offered for flexibility.

Formación

• Proven delivery experience in data or software engineering.
• Comfortable writing and debugging production-grade Java or Python.
• Hands‑on experience with Apache Flink or similar engines.
• Understanding of checkpoints, watermarking, and state management.
• Familiarity with Docker, Kubernetes, Terraform, and CI/CD principles.
• Strong focus on data integrity.

Responsabilidades

• Shift left processing by migrating existing business logic into Flink jobs.
• Lead on the Payment Lifecycle Flink jobs, moving them to Analytics domain.
• Responsible for health and monitoring of critical pipelines.
• Work with Apache Iceberg for state management in payments.
• Initiate improvements in engineering workflows.

Conocimientos

Data engineering

Software engineering

Java

Python

Apache Flink

APache Kafka

DevOps

Herramientas

Docker

Kubernetes

Terraform

Descripción del empleo

0026 Checkout Technology Ltd is looking for a data/software engineer to lead on Payment Lifecycle Flink jobs, migrating business logic into stream-processing jobs using Java or Python. The role involves ensuring pipeline health and utilizing Apache Iceberg for state management.

The ideal candidate has proven experience in data engineering, with hands-on experience in Flink and a familiarity with a modern DevOps stack. A hybrid working model is also offered for flexibility.