Data Platform Engineer

Paymentology

Data Platform Engineer at Paymentology designing and implementing cloud-based data platform infrastructure. Collaborating with teams to build robust data pipelines and ensure high performance and security.

Posted 4/28/2026full-timeRemote • 🇪🇪 EstoniaMid-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 and infrastructure provisioning.
Implement and operate observability solutions.
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.

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 is required.
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.
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.

Benefits

Comp & perks

Flexible work arrangements
Professional development opportunities