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Paymentology

Data Platform Engineer (Remote)

RemoteNorway onlyArchived
Published
Role
Data Engineering
Experience
Mid
Employment
Full-time
Company size
Enterprise
Salary not disclosed
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No BS summary

Experienced data/platform engineer (3–5 yrs) to design and own a cloud data platform for a global fintech. Must have Terraform, AWS or GCP, dbt/Airflow/Kafka, Kubernetes, and strong Python/SQL skills. Remote (Norway listed) — role supports global payments infrastructure.

Core skills

TerraformdbtBigQuery

Required skills

Apache AirflowApache KafkaAWSGCPSnowflakeS3RedshiftKubernetesPythonSQLBash

Optional skills

Spark StreamingNoSQLMLOps

What you'll do

  • Design and implement cloud-based data platform infrastructure using Infrastructure as Code (Terraform), with a strong focus on scalability, security, reliability, and cost-efficiency.
  • Build and maintain CI/CD pipelines that automate data engineering workflows, data pipeline deployments, and infrastructure provisioning.
  • Implement and operate observability solutions — integrating monitoring, logging, and metrics to ensure platform reliability and fast incident response.
  • Collaborate with data engineers, analysts, and senior stakeholders to design, implement, and operate data pipelines, data models, and platform capabilities.
  • Apply best practices for high availability, disaster recovery, security and cost optimization while documenting infrastructure patterns and operational procedures.

What they require

  • 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 — owning end-to-end delivery.
  • 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.
  • Excellent problem-solving skills and 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

  • Be part of a diverse, global team.
  • Opportunities to work across time zones and contribute to initiatives supporting local communities.
  • Supportive, forward-thinking environment with freedom to grow.
  • Equal opportunity employer and inclusive workplace.
  • All legitimate vacancies advertised via official careers page; warning about recruitment fraud.

Paymentology powers card issuing for leading banks, fintechs and digital brands across the globe.

FintechEnterprise
Salary not disclosed