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

Deutsche Bank UK

Bucharest, Romania
Hybrid
Python and pyspark for data processing
Sql and bigquery data modeling
Cloud-native data solutions on gcp
We are looking for a Senior Data Engineer to design and deliver scalable data pipelines and high-performance analytical solutions using SQL/BigQuery, Spark/PySpark, and Python on Google Cloud

Job Summary

  • We are looking for a Senior Data Engineer to design and deliver scalable data pipelines and high-performance analytical solutions using SQL/BigQuery, Spark/PySpark, and Python on Google Cloud.
  • This role focuses on building reliable, cloud-native data products that enable advanced reporting, analytics, and decision-making across the organization.
  • We offer a hybrid working model with 40% remote work, flexible working hours, private healthcare, life insurance, and a continuous learning culture.

Matching Summary

We are looking for a Senior Data Engineer to design and deliver scalable data pipelines and high-performance analytical solutions using SQL/BigQuery, Spark/PySpark, and Python on Google Cloud.

Skills & Requirements

Must-have

  • Python and PySpark for data processing
  • SQL and BigQuery data modeling
  • Cloud-native data solutions on GCP
  • Scalable data pipelines (batch/real-time)
  • Data modeling and quality best practices
  • CI/CD, code reviews, testing

Nice-to-have

  • Infrastructure-as-Code experience
  • Shell scripting knowledge
  • Financial services experience

Key Requirements

  • 5+ years of experience as a Data Engineer
  • Hands-on experience with BigQuery
  • Proven experience with Python and PySpark
  • Experience with Google Cloud Platform services

Work Rights

Not specified

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