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

Deutsche Bank

Bucharest, Romania
Base: not specified; bonus/equity: not specified; ...
Hybrid
Python and pyspark for scalable 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.
  • Responsibilities include building scalable data pipelines, developing SQL and BigQuery solutions, implementing Python workflows, designing data models, and building cloud-native data solutions using GCP services.
  • The company offers a hybrid working model with 40% remote work, flexible working hours, private healthcare, life insurance, and a strong focus on employee well-being and continuous learning.

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.

Salary

Base: Not specified; Bonus/Equity: Not specified; Benefits: Private healthcare and life insurance with premium benefits, retailer discounts, meal vouchers, bonuses for referrals

Skills & Requirements

Must-have

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

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 building performant datasets in BigQuery
  • Proven experience with Python and PySpark
  • Solid understanding of data modeling, ELT/ETL patterns
  • Experience with Google Cloud Platform services
  • Proficiency with version control, CI/CD, and automated testing

Work Rights

Not specified

Tailored Resume

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