# Data Engineer

**Company**: Deutsche Bank
**Location**: Bucharest, 6A Dimitrie Pompeiu Blvd
**Work arrangement**: hybrid
**Experience**: senior
**Job type**: full-time
**Category**: Engineering
**Industry**: Finance

**Apply**: https://db.wd3.myworkdayjobs.com/en-US/DBWebsite/job/Bucharest-6A-Dimitrie-Pompeiu-Blvd/Data-Engineer-on-Cloud--f-m-x-_R0455032?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_5288c76d-f17

## 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
- Python
- Google Cloud
- ETL
- Data Warehousing
- Java

### Nice to have
- Terraform
- Ansible
- Chef
- Shell Scripting
- AI Tools

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Source: [Apply at db.wd3.myworkdayjobs.com](https://db.wd3.myworkdayjobs.com/en-US/DBWebsite/job/Bucharest-6A-Dimitrie-Pompeiu-Blvd/Data-Engineer-on-Cloud--f-m-x-_R0455032?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)