DataOps Engineer

At Paymentology were redefining whats 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. Its this global reach and innovation that sets us apart.

Were 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.

Youll 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.

• Design and implement cloud infrastructure for a modern data platform using Infrastructure as Code with a strong focus on scalability security and reliability.
• Build and maintain CI/CD pipelines that support data engineering workflows and infrastructure deployments.
• Implement and operate observability solutions including monitoring logging metrics and alerting to ensure platform reliability and fast incident response.
• Collaborate closely with data engineers to translate platform and workflow requirements into robust infrastructure solutions.
• Apply best practices for availability disaster recovery and cost efficiency while documenting infrastructure patterns and operational procedures.

At Paymentology its not just about building great payment technology its about building a company where people feel they belong and their work matters. Youll be part of a diverse global team thats genuinely committed to making a positive impact through what we do. Whether youre working across time zones or getting involved in initiatives that support local communities youll find real purpose in your work - and the freedom to grow in a supportive forward-thinking environment.

Requirements:

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.