Data Engineer – Data Integration & Pipelines (m/w/d)
Core
Design, build, and maintain scalable data pipelines and processing workflows to support innovative digital business models.
Role type
Data Engineer (Data Integration & Pipelines)
Builds
Stable, performant data pipelines and data processing workflows
Domain
Data Engineering / Big Data
Deliverable
production ML models
Required skills
Python, SQL, Spark, Dremio, Data Modeling, Data Quality, Workflow Orchestration
Preferred skills
Kubernetes, Docker, Git, CI-CD, Data Science, Business Intelligence
Technologies
Python, Kubernetes, Argo Workflows, Spark, Dremio, GitLab, Docker
Responsibilities
Develop and operate data pipelines; Implement technical requirements with stakeholders; Maintain data processing workflows; Ensure data availability and troubleshoot errors; Contribute to data architecture evolution; Create technical documentation.
Seniority
Mid-Senior, hands-on IC
