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Paymentology

Data Platform Engineer

Paymentology

Data Platform Engineer building scalable data platforms at Paymentology, a global issuer-processor for fintech. Collaborating with teams to design, implement, and operate data systems.

Posted 4/28/2026full-timeRemote • 🇿🇦 South AfricaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies
AirflowAmazon RedshiftApacheAWSBigQueryCloudGoogle Cloud PlatformKafkaKubernetesNoSQLPythonSparkSQLTerraform

About the role

Key responsibilities & impact
  • Design and implement cloud-based data platform infrastructure using Infrastructure as Code (Terraform).
  • Build and maintain CI/CD pipelines that automate data engineering workflows.
  • Implement and operate observability solutions integrating monitoring, logging, and metrics.
  • Collaborate closely with data engineers and cross-functional teams.
  • Apply best practices for high availability, disaster recovery, security and cost optimization.

Requirements

What you’ll need
  • 3-5 years of hands-on experience in Data Engineering, Platform Engineering, or DataOps roles.
  • Proven track record in designing and implementing reliable, scalable data platforms and data infrastructure.
  • Hands-on experience with modern data engineering tools such as dbt, Apache Airflow or Apache Kafka.
  • Hands-on proficiency with Infrastructure as Code (Terraform) and cloud architecture patterns on AWS or GCP.
  • Deep experience with AWS or GCP, including data storage and processing services (e.g., BigQuery, Snowflake, S3, Redshift).
  • Practical experience with Kubernetes and containerised workloads.
  • Experience implementing observability stacks for data platform monitoring, logging, metrics, and alerting.
  • Strong programming skills in Python, SQL, and Bash.
  • Excellent problem-solving skills and the ability to work effectively in a collaborative, fully remote environment.
  • A strong inclination to deepen expertise in data architecture, data modelling, and MLOps capabilities.
  • Experience with real-time data processing (e.g., Kafka, Spark Streaming) and both SQL and NoSQL data storage solutions is an advantage.

Benefits

Comp & perks
  • Flexible working hours
  • Professional development opportunities