At Paymentology, we're redefining what's possible in the payments space. As the first truly global issuer-processor, we give banks and fintechs the technology and talent to launch and manage Mastercard and Visa cards at scale across more than 60 countries.
Our advanced, multi-cloud platform delivers real-time data, unmatched scalability, and the flexibility of shared or dedicated processing instances. It's this global reach and innovation that sets us apart.
We're looking for a Data Platform Engineer to join our Data Engineering team and help build a modern data platform from the ground up. This is a greenfield opportunity focused on designing and implementing scalable data infrastructure, engineering robust data pipelines, and establishing observability, playing a critical role in enabling reliable, high-performance, and secure data systems.
You'll work closely with data engineers, analysts, and senior technical stakeholders to design, implement, and operate the foundations of our data stack — from cloud infrastructure and data pipelines to storage and processing layers. This role is ideal for an experienced engineer with strong data platform and cloud infrastructure expertise who thrives in a high-impact, global fintech environment.
What it takes to succeed:
- 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 — not just supporting, but owning end-to-end delivery.
- 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 (e.g., BigQuery, Snowflake, S3, Redshift).
- 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 to build data pipelines, automate workflows, and perform data processing.
- 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.
Top Skills
What We Do
Paymentology is the leading next-gen cloud-native global issuer-processor. We provide digital banks, retail banks, fintechs and telcos the technology, team and experience to easily issue and process any type of physical or virtual card; debit, prepaid, credit and more. Anywhere in the world, rapidly and at scale. Our superior multi-cloud platform offering both shared and dedicated processing instances, vast global presence, and richer real-time data set us apart as the leader in payments. Our payments experts bring deep, local market knowledge on the ground in 60 countries, across 14 time zones, guaranteeing 24/7 support. We are deeply committed to increasing financial inclusion worldwide, and to making a positive impact in the communities in which we operate
