Senior Data Engineer
Vor 2 Tagen
Description
:Deutsche Bank Technology in Berlin
DB Technology is a global team of tech specialists, spread across multiple trading hubs and tech centres. We have a strong focus on promoting technical excellence – our engineers work at the forefront of financial services innovation using cutting-edge technologies.
Our Berlin location is our most recent addition to our global network of tech centres and growing strongly. We are committed to building a diverse workforce and to creating excellent opportunities for talented engineers and technologists. Our tech teams and business units use agile ways of working to create #GlobalHausbank solutions from our home market.
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 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 requirementsYour 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 EnglishWhat we offer
Competitive salary and , including 30 days of holiday Hybrid model of remote work and office days Working at the forefront of financial services technology at scaleIn case of any recruitment related questions, please get in touch with Anna Martinez.
Contact: Anna Martinez, Tel. Nr. +491707661024
Our values define the working environment we strive to create – diverse, supportive and welcoming of different views. We embrace a culture reflecting a variety of perspectives, insights and backgrounds to drive innovation. We build talented and diverse teams to drive business results and encourage our people to develop to their full potential. Talk to us about flexible work arrangements and other initiatives we offer.
We promote good working relationships and encourage high standards of conduct and work performance.
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