# Data Engineer on Cloud (f/m/x) at Deutsche Bank

Deutsche Bank is hiring a Data Engineer on Cloud (f/m/x) in Bucharest, Romania. Level rates it Little AI ●○○○; you can [apply on Deutsche Bank](https://jobsbylevel.com/go/545da9cb-9b43-495d-b80f-115e717700ee?utm_medium=ai-agent).

AI Level 1, AI centrality 21 out of 100. Bucharest, 6A Dimitrie Pompeiu Blvd.

## Details

- Company: [Deutsche Bank](https://jobsbylevel.com/companies/deutsche-bank)
- AI level: AI Level 1 (score 21 out of 100)
- Location: Bucharest, 6A Dimitrie Pompeiu Blvd
- Posted: November 2, 2026
- Apply: https://jobsbylevel.com/go/545da9cb-9b43-495d-b80f-115e717700ee?utm_medium=ai-agent
- Free CV review for this job: https://jobsbylevel.com/cv-review?job=data-engineer-on-cloud-f-m-x-at-deutsche-bank-a552c3

## Description

Job Description: DB Global Technology is Deutsche Bank’s technology centre in Central and Eastern Europe. Since its set-up in 2013, Bucharest Technology Centre (BEX) has constantly proven its capacity to deliver global technology products and services, playing a dynamic role in the Bank’s technology transformation. We have a robust, hands-on engineering culture dedicated to continuous learning, knowledge-sharing, technical skill development and networking. We are an essential part of the Bank’s technology platform and develop applications for many important business areas. Area/ Team 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. Focus is on the development and delivery of different solutions in the field of data warehousing, reporting and analytics for the Private Bank to ensure that necessary data is provided for operational and analytical purposes. The Global Data Platform is the new, strategic data platform of the Private Bank and uses the Google Cloud Platform as a basis. With Google as a close partner, we are following Deutsche Bank's cloud strategy with the aim of transferring a significant proportion of today's on-prem applications to the Google cloud platform or building new ones there. Responsabilities Develop Scalable ETL Pipelines : Design, implement, and maintain fast, reliable ETL pipelines (both batch and near real-time) that integrate diverse data sources into our cloud environment. Write Quality Code : Craft clean, efficient, and maintainable Python code following best practices and coding standards; experience with Java is considered a bonus. Data Transformation & Modeling : Develop and optimize data transformation processes to deliver structured, actionable data to our consumers. Experience with data warehousing is a plus. Cloud Integration : Utilize cloud services from Google Cloud Platform to build and optimize data solutions. Problem Solving : Employ advanced debugging tools and techniques to identify, troubleshoot, and resolve complex issues within data pipelines. Collaborative Development : 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. Skills Hands-On Data Engineering : 2.5 + years of experience building scalable data pipelines, with a strong focus on writing robust, maintainable Python code (Java is consider a plus). Cloud Proficiency : Experience with one or more cloud platforms ( Google Cloud , AWS, or Azure) and a solid understanding of their data services. Prior experience with Google Cloud Platform, including services like BigQuery, Dataflow (Apache Beam), CloudRun, CloudFunction, PubSub, GCS, Cloud Composer (Airflow) is highly appreciated. Data Transformation : Familiarity with data modeling and ETL processes; direct experience with data warehousing is advantageous but not essential. Software Development Practices : 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). Debugging Skills : Demonstrated ability to troubleshoot and resolve complex technical issues. Bonus Skills: 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. Well-being & Benefits Emotionally and mentally balanced: We support you in dealing with life crises, maintaining stability through illness, and maintaining good mental health. Empowering managers who value your ideas and decisions. Show your positive attitude, determination, and

The description is cut here. Read the full offer: https://jobsbylevel.com/jobs/data-engineer-on-cloud-f-m-x-at-deutsche-bank-a552c3

Source: https://jobsbylevel.com/jobs/data-engineer-on-cloud-f-m-x-at-deutsche-bank-a552c3

## Cite this page

Level. https://jobsbylevel.com/jobs/data-engineer-on-cloud-f-m-x-at-deutsche-bank-a552c3.

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