
Senior Data Engineer
Interval Group
contract
Posted on:
Location Type: Hybrid
Location: Germany
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Job Level
About the role
- Design and further development of modern data architectures in line with Data Mesh
- Development and optimization of high-performance data pipelines with Spark
- Implementation of data processing workflows using Python and/or Java
- Orchestration of workflows with Airflow
- Collaboration with architecture, DevOps, and business teams
- Ensuring scalability, maintainability, and performance of the platform
Requirements
- Several years of experience as a Data Engineer
- Strong conceptual knowledge of Data Mesh
- Excellent knowledge of Apache Spark
- Practical experience with Python and/or Java
- Experience with Apache Airflow
- Very good German language skills (C1/C2)
- Additional relevant technical skills: Kubernetes or OpenShift, Git, S3 / Delta Lake, YAML, SQL
Benefits
- Flexible working hours
- Freedom to choose projects independently
- Access to exciting projects across various industries
- Fair compensation
- A dedicated team that supports you with questions
- Independent work and access to a strong network to achieve professional goals
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data architecturedata pipelinesApache SparkPythonJavaApache AirflowKubernetesOpenShiftGitSQL
Soft Skills
collaborationcommunicationconceptual knowledgescalabilitymaintainabilityperformance