Senior Data Engineer (f/m/x)

Deutsche Bank

Bucharest, Romania
Competitive income; performance-based promotions; ...
Hybrid (40% remote work)
4+ years building scalable data pipelines
Robust python coding skills
Google cloud platform experience
Deutsche Bank is seeking a Senior Data Engineer to join their Bucharest Technology Centre, focusing on developing scalable ETL pipelines and data solutions in a hybrid work environment. The role emphasizes collaboration, coding best practices, and cloud integration, particularly with Google Cloud Platform

Job Summary

  • The role involves developing scalable ETL pipelines for the Private Bank's Global Data Platform using Google Cloud Platform.
  • Candidates must write clean, efficient Python code while collaborating in an agile team to ensure high software quality.
  • Deutsche Bank offers a hybrid working model with 40% remote work, comprehensive health benefits, and a culture focused on continuous learning.

Matching Summary

Match Score: 85

Deutsche Bank is seeking a Senior Data Engineer to join their Bucharest Technology Centre, focusing on developing scalable ETL pipelines and data solutions in a hybrid work environment. The role emphasizes collaboration, coding best practices, and cloud integration, particularly with Google Cloud Platform.

Salary

Competitive income; Performance-based promotions; Meal vouchers and referral bonuses

Skills & Requirements

Must-have

  • 4+ years building scalable data pipelines
  • Robust Python coding skills
  • Google Cloud Platform experience
  • ETL pipeline development expertise
  • Git version control proficiency

Nice-to-have

  • Java programming knowledge
  • Data warehousing background
  • Infrastructure as Code tools
  • Shell scripting capabilities
  • Agile development environment

Key Requirements

  • 4+ years of data engineering experience
  • Proficiency in Python and Git
  • Experience with GCP services like BigQuery and Dataflow

Work Rights

Not specified

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