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Data Platform Engineer
PaymentologyData Platform Engineer building scalable cloud-based data infrastructure and CI/CD pipelines at Paymentology. Collaborating with global teams to deliver reliable data systems in Fintech industry.
Tech Stack
Tools & technologiesAirflowAmazon RedshiftApacheAWSBigQueryCloudGoogle Cloud PlatformKafkaKubernetesNoSQLPythonSparkSQLTerraform
About the role
Key responsibilities & impact- Design and implement cloud-based data platform infrastructure using Infrastructure as Code (Terraform)
- Build and maintain CI/CD pipelines that automate data engineering workflows
- Implement and operate observability solutions
- Collaborate closely with data engineers and cross-functional teams
- Apply best practices for high availability, disaster recovery, security and cost optimization
Requirements
What you’ll need- 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
- 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.
Benefits
Comp & perks- You'll be part of a diverse, global team
- commitment to making a positive impact through what we do
- real purpose in your work
- freedom to grow in a supportive, forward-thinking environment