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(Senior) Data Engineer

3 months ago


Lowell, United States Lowell Financial Ltd Full time

Summary

At Lowell we are looking for you as a (Senior) Data Engineer (m/f/d) in our Data Management team in Essen

Job Description

As

(Senior) Data Engineer

(m/f/d) at

Lowell

in our

Data Management

team in Essen you will be part of a data-driven business operating across the DACH region you enhance the data coverage and the functional scope of our Oracle-based data warehouse (DWH) which plays the key role in reporting and analytics across all business domains you analyse functional requirements and integrate new data sources, design and develop data models, ETL processes and optimise the entire DWH you integrate the classical, Oracle-based Data Warehouse into our cloud-based Lakehouse architecture and step-by-step you support its transformation into the modern Azure-based data platform additionally, you implement data quality checks along our automated ETL processes and collaborate with decentral Data Owners and Data Stewards to define these quality rules together we live a DevOps culture, perform data operations, run and monitor the platform and support our end-users across the whole organisation Your profile: Degree level in Computer Science, Information Systems, Business Informatics, Business Administration or a comparable qualification Relevant professional experience in Business Intelligence, Data Management, Data Analytics, IT Consulting, Finance, or course specialisation with hands-on experience as a young professional (In-depth) Knowledge of analytical data architectures and used data structures, algorithms and ETL processes as well as (good) data modelling skills and competent use of ETL tools Knowledge of relational databases and (very) good knowledge of SQL Specific ETL experience with Oracle Data Integrator would be a strong advantage and any know-how of BI tools desirable Fundamental knowledge of cloud-based architectures and services (especially Microsoft Azure) and competent use of data integration services (such as Azure Data Factory or Databricks) desirable or enthusiasm to learn new technologies and components Practical knowledge of data quality management in collaborative enterprise environments desirable Agile mind-set and practical experience in agile ways of working such as Scrum, Kanban or Lean Project Management Strong willingness to take responsibility for a DevOps role and of course joy about communicating with internal and external partners, for example in requirements engineering Fluent language skills in German and English (both B2), written and spoken

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