Platform Engineer - Self-Service Data Platform

New
J
JobgetherData Platform Engineering
GermanyFull-TimeMiddle
Salary not disclosed
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Job Details

Experience
3–5+ years
Required Skills
AWSPythonKubernetesAirflowTerraformHelm

Requirements

  • 3–5+ years of experience in platform engineering, infrastructure engineering, or related technical roles with strong ownership of production systems.
  • Hands-on experience with Infrastructure-as-Code, particularly Terraform, along with Kubernetes, Helm, and containerized environments.
  • Strong understanding of modern cloud storage technologies, object stores, relational databases, and contemporary data formats such as Parquet, Delta, or Iceberg.
  • Experience with workflow orchestration platforms such as Dagster, Airflow, Prefect, or similar technologies.
  • Strong software engineering skills using Python or another programming language suitable for platform and data engineering.
  • Experience implementing security best practices, including identity and access management, role-based permissions, and least-privilege principles.
  • Product-oriented mindset with experience building self-service platforms that improve developer productivity and operational efficiency.
  • Excellent collaboration and communication skills, with the ability to work effectively in remote, cross-functional environments.
  • Experience with AWS cloud services is highly desirable.

Responsibilities

  • Design, build, and maintain the self-service data platform, including storage architecture, access management, and lifecycle management for large-scale datasets.
  • Develop reusable platform services and internal tooling that simplify data access, processing, and infrastructure management for engineering and research teams.
  • Design and optimize cloud-based storage solutions using modern object storage technologies and data formats to support scalable workflows.
  • Contribute to Infrastructure-as-Code initiatives by developing and maintaining Terraform configurations, CI/CD pipelines, and automated deployment processes.
  • Implement secure-by-design platform capabilities, including access controls, data classification, and least-privilege security practices.
  • Collaborate with cross-functional teams to identify platform capabilities that should be standardized and productized for broader organizational use.
  • Support scalable cloud infrastructure and continuously improve platform reliability, performance, and developer experience.
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