Senior Data Engineer – Python & Bigquery - Onemis - Data & Analytics (f/m/x)

Deutsche Bank UK

Competitive income; performance-based promotions; ...
Hybrid
5+ years data engineering experience
Advanced sql and bigquery expertise
Python and pyspark development
The role focuses on building reliable, cloud-native data products that enable advanced reporting, analytics, and decision-making across the organization

Job Summary

  • The role focuses on building reliable, cloud-native data products that enable advanced reporting, analytics, and decision-making across the organization.
  • Candidates will design and deliver batch and real-time ETL/ELT pipelines using Google Cloud services such as BigQuery, Dataflow, and Cloud Composer.
  • Deutsche Bank offers a hybrid working model with 40% remote work, private healthcare, life insurance, and a culture supporting mental health and continuous learning.

Matching Summary

The role focuses on building reliable, cloud-native data products that enable advanced reporting, analytics, and decision-making across the organization.

Salary

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

Skills & Requirements

Must-have

  • 5+ years Data Engineering experience
  • Advanced SQL and BigQuery expertise
  • Python and PySpark development
  • Google Cloud Platform (GCP) services
  • Scalable batch and real-time ETL/ELT pipelines
  • Data modeling and quality validation
  • CI/CD and automated testing frameworks

Nice-to-have

  • Infrastructure-as-Code (Terraform, Ansible)
  • Shell scripting knowledge
  • Experience in financial services or regulated environments
  • Continuous learning culture participation

Key Requirements

  • 5+ years of Data Engineering experience
  • Strong expertise in SQL and BigQuery
  • Proven experience with Python and PySpark
  • Solid understanding of data modeling and ELT/ETL patterns
  • Hands-on experience with GCP services

Work Rights

Not specified

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