Data Engineer (all Genders)

diconium GmbH

Not specified; not specified; comprehensive benefi...
Hybrid
5+ years data engineering experience
Python and sql programming skills
Pyspark or spark sql distributed processing
Diconium GmbH is seeking a Data Engineer to join their hybrid team, focusing on digital business transformation through data, software, and AI. The ideal candidate will have extensive experience in data engineering, cloud platforms, and programming, and will contribute to innovative projects for Fortune 500 firms and other clients

Job Summary

  • You will design, implement, and manage scalable data pipelines using cloud-native technologies to efficiently process large volumes of data.
  • The role offers maximum flexibility through a hybrid workplace model and opportunities for professional growth through training programs.
  • You will work closely with Data Scientists and Analysts to identify potential data sources and develop appropriate solutions for Fortune 500 firms.

Matching Summary

Match Score: 85

Diconium GmbH is seeking a Data Engineer to join their hybrid team, focusing on digital business transformation through data, software, and AI. The ideal candidate will have extensive experience in data engineering, cloud platforms, and programming, and will contribute to innovative projects for Fortune 500 firms and other clients.

Salary

Not specified; Not specified; Comprehensive benefits including public transport tickets, job bikes, health offers, supplementary insurances, pension plan, and various discounts

Skills & Requirements

Must-have

  • 5+ years Data Engineering experience
  • Python and SQL programming skills
  • PySpark or Spark SQL distributed processing
  • Cloud-native pipeline deployment Azure or AWS
  • Azure Data Factory or AWS Glue orchestration
  • Unix/Linux environment and Bash scripting

Nice-to-have

  • AWS S3 Redshift Lambda DynamoDB services
  • CI/CD practices with Terraform or GitHub Actions
  • Streaming technologies Kafka or Event Hubs
  • Agile delivery environment experience

Key Requirements

  • 5+ years hands-on Data Engineering experience
  • Fluency in English written and spoken

Work Rights

Not specified

Tailored Resume

Cover Letter