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.
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.
Responsibilities:
- 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.
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 open-mindedness.
- 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.
Physically thriving: We support you in managing your physical health by taking appropriate preventive measures and providing a workplace that helps you thrive. For example, Private healthcare and life insurance with premium benefits for you and discounts for your loved ones, healthier ways of working and check-ups.
Socially connected: We strongly believe in collaboration, inclusion and feeling connected to open up new perspectives and strengthen our self-confidence and well-being.
- 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.
Financially secure: We support you in meeting personal financial goals during your active career and for the future.
- Competitive income, performance-based promotions, and a sense of purpose.
- Meal vouchers, bonuses for referrals
Interested in more: discover what our employees value in the Well-being & Benefits hub!
We strive for a culture in which we are empowered to excel together every day. This includes acting responsibly, thinking commercially, taking initiative and working collaboratively.
Together we share and celebrate the successes of our people. Together we are Deutsche Bank Group.
We welcome applications from all people and promote a positive, fair and inclusive work environment.
Skills:
- Hands-On Data Engineering: 4+ 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: Proficiency 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.
