Data Platform Engineer

Paymentology

Data Platform Engineer building a modern data platform for Paymentology's global services. Collaborating on cloud infrastructure and data engineering in a fintech environment.

Posted 4/28/2026full-timeRemote • 🇸🇮 SloveniaMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

AirflowApacheAWSCloudGoogle Cloud PlatformKafkaKubernetesPythonSQLTerraform

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 to design and implement data pipelines, data models, and platform capabilities.
Apply best practices for high availability, disaster recovery, security and cost optimization while documenting infrastructure patterns and operational procedures.

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.
Practical experience with Kubernetes and containerised workloads for orchestrating data platform services.
Experience implementing observability stacks for data platform monitoring, logging, metrics, and alerting.
Strong programming skills in Python, SQL, and Bash.

Benefits

Comp & perks

A diverse, global team
Opportunities for professional growth
Positive impact initiatives