Data Engineer / Analytics Engineer, Deutsche Bank

Origination & Advisory Technology

Salary not provided

SQL

AWS

GCP

Scala

Java

Kafka

Hadoop

Spark

Snowflake

Hive

Parquet

Oracle

Junior, Mid and Senior level

Berlin

Investment bank and financial services company

Be an early applicant

Investment bank and financial services company

1001+ employees

B2CB2BInvestingTradingFinancial Services

Be an early applicant

Salary not provided

SQL

AWS

GCP

Scala

Java

Kafka

Hadoop

Spark

Snowflake

Hive

Parquet

Oracle

Junior, Mid and Senior 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

Good knowledge of Java/Scala, SQL, data modelling principles and best practices in DWH design (Kimball, Inmon, Star/Snowflake schema)
Experience with data ingestion technologies from heterogenous sources (Relational DBMS, HTTP requests, streaming)
Experience with data storage formats for structured and semi-structured data (Avro, Parquet,…)
Experience with Apache Ecosystem (Spark, Hive, Hadoop) and columnar DBMS (pref. Clickhouse). Oracle DB knowledge, Kafka, GCP/AWS, and related stack is a plus
Analytical skills and analytical thinking, good skills in written and spoken English

What the job involves

As a Data Engineer (f/m/x), you will be part of product team, responsible for all steps of bringing high-quality data to end users: ETL processes, data analysis and preparation, platform development and evolution
We are looking for engineers with strong design and coding skills, team players, motivated and self-driven
People with passion for software engineering and the ability to work in a fast-paced evolving environment
Build the infrastructure required for optimal extraction, transformation and data loading from a wide variety of data sources using batch and stream processing
Manage end to end ownership of delivery from requirements to production release and 3rd level support
Conduct complex data analysis and prototyping to identify new insights for the Business
Recommend ways to improve data reliability, efficiency and quality
Ensure architecture supports business requirements

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.