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From the employer's careers site First seen 4 Nov 2026

Data Engineer

The employer hasn't listed a salary.

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Description

DB Global Technology is Deutsche Bank’s technology centre in Central and Eastern Europe.

We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking.

As part of one of the internationally staffed, agile teams of the Private Bank – Data and Analytics domain, you will be part of the Global Data Platform subdomain.

Responsibilities

  • Design, implement, and maintain fast, reliable ETL pipelines (both batch and near real-time) that integrate diverse data sources into our cloud environment.
  • Craft clean, efficient, and maintainable Python code following best practices and coding standards; experience with Java is considered a bonus.
  • Develop and optimize data transformation processes to deliver structured, actionable data to our consumers.
  • Utilize cloud services from Google Cloud Platform to build and optimize data solutions.
  • Employ advanced debugging tools and techniques to identify, troubleshoot, and resolve complex issues within data pipelines.
  • Engage in code reviews, contribute to continuous integration/continuous deployment (CI/CD) practices, and work closely with peers in an agile development environment to enhance software quality.

Requirements

  • 2.5 + years of experience building scalable data pipelines, with a strong focus on writing robust, maintainable Python code (Java is considered a plus).
  • Experience with one or more cloud platforms (Google Cloud, AWS, or Azure) and a solid understanding of their data services.
  • Familiarity with data modeling and ETL processes; direct experience with data warehousing is advantageous but not essential.
  • Experience with version control tools (e.g. Git / Bitbucket), CI/CD pipelines (e.g., GitHub Actions, TeamCity, Jenkins), and unit testing frameworks (such as Pytest/Unittest for Python or Junit for Java).
  • Demonstrated ability to troubleshoot and resolve complex technical issues.
  • Familiar with any Infrastructure as Code tools (e.g. Terraform, Ansible, Chef), and hands-on experience with shell scripting.
  • Proven ability to leverage AI tools to enhance productivity, optimise workflows to solve business problems, while applying critical judgment to ensure responsible and ethical use of data and AI outputs.

Benefits

  • Empowering managers who value your ideas and decisions.
  • A professional, passionate, and fun workplace.
  • A modern office with fun and relaxing areas to boost creativity.
  • Continuous learning culture with coaching and support from team experts.
  • A culture where you can openly speak about mental health.
  • 24 days holiday, loyalty days, and bank holidays (including weekdays for weekend bank holidays).
  • Hybrid working model with 40% remote work.
  • Options for flexible working hours.
  • Enjoy retailer discounts, cultural and CSR activities, workshops, and more.
  • Competitive income, performance-based promotions, and a sense of purpose.
  • Meal vouchers, bonuses for referrals

Skills

Required

Ready to apply?

You apply with the employer directly. Their original posting is here: https://db.wd3.myworkdayjobs.com/en-US/DBWebsite/job/Bucharest-6A-Dimitrie-Pompeiu-Blvd/Data-Engineer-on-Cloud--f-m-x-_R0455032

Apply on Deutsche Bank