Data Engineer (f/m/x) – Origination & Advisory Technology

at  Deutsche Bank

ORIGINATION & ADVISORY TECHNOLOGY

Origination & Advisory Technology aims to build long-term, trusted and mutually beneficial relationships with the major corporates, financial institutions, financial sponsors and sovereigns around the world. Our product is a core analytical platform serving various businesses and one of the key areas in Deutsche Bank’s strategy. In order to support the growth ambitions and to remain a leading global player in the competitive payments market, significant investment in the infrastructure of Deutsche Bank is applied.
The team consumes billions of records for reporting, deep data analysis, and advanced data science, and provides Deutsche Bank front office a clear view on client’s activity and profitability. We are building an interactive analytical platform, defining and tracking key business metrics, helping front office in day-to-day business decisions across Europe, APAC, and Americas.

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.

• >You love this job but feel you cannot tick 100% of the boxes? Send us your CV anyway!

YOUR SKILLS AND EXPERIENCES

• 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

YOUR KEY RESPONSIBILITIES

• 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

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.

• >You love this job but feel you cannot tick 100% of the boxes? Send us your CV anyway