Data Engineer

DB Global Technology is Deutsche Bank’s technology center in Central and Eastern Europe. Opened in January 2014, the Bucharest office is constantly expanding.

The team is made up of enthusiastic professionals who work in an international environment, learning new technologies as part of Deutsche Bank’s businesses.

Changing the Bank is a challenging endeavor that we tackle every day and enjoy our success when our efforts fundamentally change how Deutsche Bank works.

As part of one of the internationally staffed, agile teams of the Private Bank One Data Platform, you will be part of the "TDI PB Enterprise & Data" department. Focus is on the development and delivery of different solutions in the area of data warehousing, reporting and analytics for the Private Bank to ensure that necessary data is provided for operational and analytical purposes.

The PB One 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:

• Lead the design, development, and deployment of fast and reliable ETL pipelines to load data via batch or near/realtime into our cloud-based data platform including modeling and transformation of the data to provide it to multiple Data consumers
• Write clean, maintainable, and efficient code while adhering to best practices and coding standards
• Provide technical guidance and mentorship to junior and mid-level developers
• Review code and design documents to ensure the delivery of robust and scalable solutions.
• Be part of our agile developer team by taking over responsibility for creating ETL pipelines and help to improve our software development processes with automation

Skills:

• +5 years Hands-on experience in Data Engineering including build of scalable Data pipelines using Java and/or Python with strong focus on writing clean, efficient, and maintainable code
• Strong experience with Data Warehousing and Data Modelling using SQL and ETL
• Experience with cloud platforms, preferably Google Cloud, including services like BigQuery, Dataflow (Apache Beam), CloudRun, CloudFunction, PubSub, GCS, Cloud Composer (Airflow)
• Strong experience in using debugging tools and techniques to identify and fix complex issues
• Experience in SDLC including VCS via GIT, code reviews via pull requests and CI/CD pipelines via Github Actions
• Strong experience in unit testing frameworks like Pytest/Unittest (Python) or JUnit (Java) and IaaC via Terraform and Knowledge in Shell Scripting is a plus.

Well-being & Benefits:

• 24 days holiday + loyalty days + bank holidays (weekdays offered for bank holidays on weekend days);
• Flexible working hours and working from home;
• Private healthcare and life insurance;
• Kids@TheOffice - a helping hand in case of unexpected events forcing you to take care of your kids during work hours;
• A culture of continuous learning with coaching and support from experts in your team.

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.

Before applying, please read our data protection policy:

https://dbprivacy.ro/candidati.html?lang=ro