At Aevi, we're not just a team; we're a vibrant, global community, committed to shaking up the payments industry. Our culture is all about innovation, creativity, and a passion for pushing boundaries. We’re thrilled to welcome new Aevi’ators who vibe with our values and mission and are ready to join us on our journey of transformation and growth.
As a Data Platform Engineer at Aevi, your primary responsibility is to make the data platform reliable, observable, and easy to operate by the whole team. This role is not about delivering one-off pipelines or dashboards. It is about strengthening platform foundations so data products can scale safely, remain trustworthy, and do not depend on individual experts.
Key responsibilities:
Improve reliability and operational stability of the Data Platform on AWSStrengthen monitoring, alerting, and visibility across data pipelines and datasetsSimplify and standardize data pipelines so they can be operated by any team memberAutomate deployments and reduce manual operational stepsReduce single-person dependency through documentation, ownership, and runbooksSupport and evolve the Lakehouse architecture (Iceberg, Athena, QuickSight)Design, operate, and improve data pipelines supporting both batch and near-real-time processingCollaborate with Data Engineers, Analysts, and Architects to enforce platform standards
Skills, Qualifications & Experience:
Software Engineering (Required)Strong programming skills to build and maintain data pipelines, automation, and toolingExperience writing production-grade, testable, and maintainable codeComfortable debugging complex systems and improving existing codebasesExperience with CI/CD, version control, and code reviews
Cloud & Platform Engineering (Required)
Strong experience with AWS (other clouds is a plus)Hands-on experience with Infrastructure as Code (Terraform)Experience with deployment automation and cloud-native monitoring
Data Platform Technologies (Required)
Experience with batch data processing in data lake or lakehouse architecturesPractical understanding of near-real-time / streaming data processing and when it is appropriateFamiliarity with Iceberg, Parquet, Athena, Presto/Trino, or similar technologiesExperience with data orchestration and pipeline management
Distributed & Big Data Systems (Nice to Have)
Exposure to streaming platforms (Kafka, Kinesis, or similar)Experience with batch processing frameworks (Spark or similar)Experience with Airflow or similar orchestration toolsFamiliarity with containerization (Docker, Kubernetes)
Aevi person:
An out of the box thinker Diplomatic Passionate Cool under pressure A multitasker An excellent communicator Analytical Entrepreneurial A self-starter Technology embracer (lover) Happy A team player “A can do” mentality 
