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Deutsche Bank

Finances businesses and manages personal wealth

Senior Data Engineer - Python & BigQuery

Data EngineeringConfirmed live in the last 24 hours
Full-timeBucharest, Romania

About the Job

Requirements

  • At least 5 years of experience as a Data Engineer, building scalable data pipelines and working with cloud-based data ecosystems.
  • Strong expertise in SQL and hands-on experience building performant datasets in BigQuery or similar cloud data warehouses.
  • Proven experience with Python and PySpark for scalable data processing in distributed environments.
  • Solid understanding of data modeling, ELT/ETL patterns, and data quality best practices.
  • Experience with Google Cloud Platform, particularly BigQuery, Dataflow, Cloud Composer, Google Cloud Storage, or equivalent cloud data services.
  • Hands-on experience building scalable batch and near-real-time data pipelines in a cloud-native environment.
  • Proficiency with version control, CI/CD pipelines, and automated testing frameworks.
  • Ability to troubleshoot and optimize performance across compute, storage, and processing layers.
  • Proven ability to use AI tools to enhance productivity and optimize workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

Responsibilities

  • Design and deliver batch and real-time ETL/ELT pipelines across cloud environments to support analytics and reporting.
  • Write and optimize advanced SQL transformations and build performant, cost-efficient BigQuery data models.
  • Implement scalable data-processing solutions using Python and PySpark, ensuring maintainable and high-quality code.
  • Build robust data models and apply validation practices to maintain accuracy and reliability.
  • Use Google Cloud Platform services such as BigQuery, Dataflow, Cloud Composer, Pub/Sub, and Google Cloud Storage to build and operate modern data platforms.
  • Troubleshoot complex pipeline issues and continuously improve compute, storage, and processing performance.
  • Work with engineering, analytics, and business teams while contributing to CI/CD, code reviews, and testing standards.

Desired Qualifications

  • Experience with Infrastructure as Code tools such as Terraform, Ansible, or Chef.
  • Knowledge of shell scripting.
  • Experience in financial services or regulated environments.

About the Company

Deutsche Bank

Finances businesses and manages personal wealth

Deutsche Bank finances companies, governments and individuals through a global banking network rooted in Germany and spanning major financial markets. Its investment bank focuses on bonds and currencies, alongside advice on mergers and raising capital, while its private bank handles household banking and wealth management. Businesses use its cash management, trade finance and lending services to move money and fund operations, and the group manages investment funds through DWS. It earns money from loan interest, transaction and investment fees, and trading activity. Deutsche Bank traces its founding to 1870 and is headquartered in Frankfurt am Main, Germany.

Company size
10,001+
Company stage
IPO
Headquarters
Frankfurt, Germany
Founded
1870

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