About the role

  • 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

Job title

Senior Data Engineer

Job type

Experience level

Senior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

HybridGermany

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