DataOps Engineer at Paymentology

Portugal

<h3>Description</h3> <p>At <strong>Paymentology</strong>, 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.</p><p>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.</p><p>We’re looking for a <strong>DataOps Engineer</strong> 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.</p><p>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.  </p> <h3>What you get to do:</h3> <ul><li>Design and implement cloud infrastructure for a modern data platform using Infrastructure as Code, with a strong focus on scalability, security, and reliability.</li><li>Build and maintain CI/CD pipelines that support data engineering workflows and infrastructure deployments.</li><li>Implement and operate observability solutions including monitoring, logging, metrics, and alerting to ensure platform reliability and fast incident response.</li><li>Collaborate closely with data engineers to translate platform and workflow requirements into robust infrastructure solutions.</li><li>Apply best practices for availability, disaster recovery, and cost efficiency, while documenting infrastructure patterns and operational procedures.</li></ul> <h3>Requirements</h3> <p><strong>What it takes to succeed:</strong></p><ul><li>3-5 years of hands-on experience in DevOps, Platform Engineering, or DataOps roles.</li><li>Experience supporting or contributing to data platforms or data infrastructure projects.</li><li>Exposure to modern data engineering tools such as dbt, Airflow, Apache Spark, or similar technologies is an advantage.</li><li>Hands-on proficiency with Infrastructure as Code, particularly Terraform.</li><li>Experience working with AWS or GCP and common cloud architecture patterns.</li><li>Practical experience or strong understanding of Kubernetes and containerised workloads.</li><li>Familiarity with observability tooling across monitoring, logging, metrics, and alerting.</li><li>Strong scripting skills in Python, Bash, or GoLang to automate operational processes.</li><li>Excellent problem-solving skills and the ability to work effectively in a collaborative, fully remote environment.</li><li>A strong inclination to develop DataOps and MLOps knowledge and capabilities.</li><li>Exposure to modern data engineering tools such as dbt, Airflow, Apache Spark, or similar technologies is an advantage.</li></ul><p><br/></p><p><strong></strong></p> <h3>What you can look forward to:</h3> <p>At <strong>Paymentology</strong>, it’s not just about building great payment technology, it’s about building a company where people feel they belong and their work matters. You’ll be part of a diverse, global team that’s genuinely committed to making a positive impact through what we do. Whether you’re working across time zones or getting involved in initiatives that support local communities, you’ll find real purpose in your work - and the freedom to grow in a supportive, forward-thinking environment.</p>