Data Engineer, Deutsche Bank

Assistant Vice President

$100-142.3k

SQL

GCP

Python

Tableau

Postgres

Excel

Oracle

Senior and Expert level

New York

More information about location

Office located in Columbus Circle, NY

Investment bank and financial services company

Open for applications

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Open for applications

$100-142.3k

SQL

GCP

Python

Tableau

Postgres

Excel

Oracle

Senior and Expert level

New York

More information about location

Office located in Columbus Circle, NY

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

Experience in using SQL as a data integration and data processing language
Experience in writing complex SQL queries for advanced data analysis
Experience with integrating data from multiple data sources and good understanding of the challenges involved
Experience working in any of the major RDBMS e.g. Oracle, MS SQL, Sybase, Postgres
Experience with data modeling techniques for OLTP and OLAP applications

Desirable

Excellent communication skills, both written and spoken
Good knowledge of GCP
Experience writing CI/CD pipeline

What the job involves

As part of core engineering team, you will be responsible for design, development, testing, documentation, deployment, and production support for one or more systems
You will work with cross-functional teams to define the solution and use multiple technology stack to build the same
You will work in an agile team responsible to build software and tools which can be used across multiple portfolios
Participate in business requirements and contribute materially to the development of functional design
Work with business users and other technology teams to understand their data requirements, identify appropriate data sources, design and develop data pipelines and design appropriate data structures to store the required data
Design and develop data pipelines using Python and SQL
Analyze data and produce data analysis artifacts using Excel, Jupyter or Tableau
Support release deployments into controlled environments
Capture Build and Deployment notes, develop automated deployment scripts, as needed

Our take

Despite its roots in the nineteenth century, Deutsche Bank has seen strategic transformation at countless stages to remain competitive. For example, it recently launched Vert, a new digital payments company for SMEs, in collaboration with Fiserv. As a result, the company successfully filled the gap in the market for a user-friendly, all in one solution which would enable merchants to accept payments and manage money.

The company continues to benefit from its scale and reputation. Despite ongoing criticisms, its strong European ties and a global network means Deutsche Bank is well placed to help clients navigate through geopolitical and macroeconomic shifts, something that can’t be said so confidently of its competitors. Today, it operates in circa 60 countries.

Moving forwards, the company is focused on aligning more closely to environmental, social and governance (ESG) criteria to facilitate over €500B in sustainable finance and investments between 2020 and 2025.