DataOps Engineer

Posted 6 Days Ago
Be an Early Applicant
Hiring Remotely in Valletta
In-Office or Remote
Mid level
Cloud • Fintech • Payments • Financial Services
The Role
Seeking a DataOps Engineer to build a modern data platform, focusing on infrastructure, automation, and observability in a fintech environment.
Summary Generated by Built In

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 DataOps 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 infrastructure, automation, and observability, playing a critical role in enabling reliable, scalable, and secure data systems.

You’ll work closely with data engineers and senior technical stakeholders to design, implement, and operate the foundations of our data stack. This role is ideal for a mid-level engineer with strong DevOps fundamentals who is eager to deepen their expertise in data platforms, cloud infrastructure, and observability within a high-impact, global fintech environment.  

What it takes to succeed:

  • 3-5 years of hands-on experience in DevOps, Platform Engineering, or DataOps roles.
  • Experience supporting or contributing to data platforms or data infrastructure projects.
  • Exposure to modern data engineering tools such as dbt, Airflow, Apache Spark, or similar technologies is an advantage.
  • Hands-on proficiency with Infrastructure as Code, particularly Terraform.
  • Experience working with AWS or GCP and common cloud architecture patterns.
  • Practical experience or strong understanding of Kubernetes and containerised workloads.
  • Familiarity with observability tooling across monitoring, logging, metrics, and alerting.
  • Strong scripting skills in Python, Bash, or GoLang to automate operational processes.
  • Excellent problem-solving skills and the ability to work effectively in a collaborative, fully remote environment.
  • A strong inclination to develop DataOps and MLOps knowledge and capabilities.
  • Exposure to modern data engineering tools such as dbt, Airflow, Apache Spark, or similar technologies is an advantage.



Top Skills

Airflow
Spark
AWS
Bash
Dbt
GCP
Go
Kubernetes
Python
Terraform
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The Company
Gauteng
340 Employees
Year Founded: 2015

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

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