Fever

Senior Data Platform Engineer

Fever

full-time

Posted on:

Origin:  • 🇪🇸 Spain

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Job Level

Senior

Tech Stack

AirflowApacheDjangoElasticSearchGrafanaJenkinsKafkaKubernetesPostgresPrometheusPythonTerraform

About the role

  • Design, build, and maintain a scalable and reliable data platform for company-wide use.
  • Implement and enforce data governance policies to ensure data quality, security, and consistency.
  • Develop observability frameworks (monitoring, alerting, logging) to ensure system reliability and performance.
  • Automate and maintain infrastructure (data warehouses, pipelines, real-time systems) using Infrastructure as Code (IaC).
  • Promote best practices across data engineering, governance, and platform operations.
  • Create internal tools and libraries to streamline development of data-driven applications.
  • Work closely with engineers and stakeholders to ensure data is accessible and well-structured within the platform.

Requirements

  • Expert in Python, with experience using FastAPI or Django.
  • Proficient in working with databases like Snowflake and PostgreSQL.
  • Hands-on experience with Kubernetes and Terraform (IaC).
  • Skilled in workflow orchestration (e.g., Airflow, Metaflow) and real-time data tools like Kafka.
  • Familiar with container orchestration, GitOps tools (ArgoCD), and CI/CD pipelines (e.g., Jenkins).
  • Strong knowledge of observability tools such as Datadog, Grafana, and Prometheus.
  • A collaborative team player with excellent communication skills, who thrives in fast-paced, international environments.
  • Proactive, driven, and fluent in professional English.
  • It would be a plus if you Collaborate effectively in a multidisciplinary team, interacting with roles like data analysts, data scientists, marketing, and product managers to meet project goals and deliver actionable insights.
  • Use ClickHouse or TinyBird for real-time analytics.
  • Have experience with stream processing frameworks like Apache Flink for real-time data processing and analytics.
  • Understand event-driven architectures and their implementation in large-scale data systems.
  • Have experience with OpenSearch (or Elasticsearch) for log management, search, and analytics.
  • Use BI tools such as Metabase or Superset for data visualization and reporting to support decision-making processes.
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