Senior Cloud Data Engineer, Deutsche Bank

Corporate Bank Technology, Merchant Solutions

Salary not provided

SQL

Python

Tableau

Looker

Java

Airflow

Terraform

Spark

Cloud Composer

BigQuery

DevOps

Senior and Expert level

Berlin

Investment bank and financial services company

Posted today

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Posted today

Salary not provided

SQL

Python

Tableau

Looker

Java

Airflow

Terraform

Spark

Cloud Composer

BigQuery

DevOps

Senior and Expert level

Berlin

1001+ employees

B2CB2BInvestingTradingFinancial Services

Company mission

To be the leading global provider of financial solutions for demanding clients, creating exceptional value for its shareholders and people.

Job

Company

Role

Who you are

You love this job but feel you cannot tick 100% of the boxes? Send us your CV anyway!
Strong hands-on experience in data engineering and data management via SQL, including building scalable data pipelines in Java and/or Python, as well as using data pipeline tools (Apache Spark, Apache Beam, Apache Airflow, etc.)
Experience working with cloud platforms, ideally Google Cloud Platform, including BigQuery, Dataflow (Beam), Pub/Sub, Cloud Run/Cloud Functions, and Cloud Composer
Practical knowledge of data modeling for OLTP and OLAP purposes and working with a range of data storage technologies
Experience owning and optimizing data infrastructure using a DevOps approach, including Terraform and CI/CD pipelines (GitHub Actions or similar)
Familiarity with business intelligence and reporting tools such as Tableau or Looker Studio

What the job involves

As a Senior Cloud Data Engineer (f/m/x), you will be working responsible for end-to-end delivery of data solutions to accomplish our business goals
Design, develop, and deliver within the cross-functional team a scalable and reliable cloud-based data solution enabling Deutsche Bank Merchant Solutions transaction monitoring, regulatory reporting and data analytics capabilities
Develop and enhance internal data collection and data management processes, ensuring accuracy and reliability and resolving data quality issues
Evaluate and introduce modern tools, technologies, and engineering practices that improve the performance, reliability, and usability of the data platform
Work closely with business stakeholders and subject matter experts (SMEs) to define the target data model and proper data sources to solve real business problems
Provide hands-on technical guidance, mentorship and support to other team members on data warehouse and data analytics platform
This job is available in full and parttime

Our take

Deutsche Bank is one of Europe's biggest banks, operating in around 60 countries. It has a long history but hasn't struggled to keep up with the changing times. Like launching Vert, a digital payments service for small and medium businesses, and focusing on investments that are good for the environment and society.

The banks performance in 2025 has been impressive too. In the first nine months, pre-tax profit reached €7.7B (up 64% from last year) and net profit climbed to €5.6B (a 76% increase). And all business divisions delivered double-digit profit growth, supported by revenue gains and disciplined cost management.

If this wasn't impressive enough, the bank is also making strong progress in ESG, reporting €23B in sustainable financing in the third quarter of 2025 alone. With these healthy finances, a clear strategic direction, and a focus on responsible growth, Deutsche Bank is in a very promising position for the future.