Senior Data Engineer designing and optimizing modern data architectures in a challenging financial IT project. Working remotely with an agile team in Germany, focusing on scalable data platforms.
Responsibilities
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
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