Working at Data Virtuality means being part of an international team and thriving. What we offer is remote work from your home, wherever it is. Further, you can expect an unlimited long-term contract with a full-time job, benefits, and genuine team spirit.
At Data Virtuality, you will experience respectful interactions, harmonious teamwork,
without a dog-eat-dog mentality!
What our fantastic team of freelancers worldwide loves about working with Data Virtuality:
A stable and reliable job with the freedom and flexibility of a freelancer
Fast and dependable monthly payment – in EUR, USD, Crypto, as you prefer
Contributing to the success of a growing company
Developing a groundbreaking data technology and working with cutting-edge technologies
Knowledgeable and approachable C-Level
Continuity and growth potential
Friendly and international colleagues
Full integration into our teams and invitation for our team events worldwide
If you want, possibility to relocate to Germany after min. five years of a great collaboration
As a “Senior Backend Developer,” you will be:
Coding Expert – You push on further developing our monolithic product Data Virtuality Platform. With your clean coding approach and your creative power, you conceive, develop, and integrate new components and applications into our products with the highest quality.
Bug Buster – Your mission is to keep an eye on our existing products: You analyze and improve our components and fix bugs.
Team Player – Working remotely: You are independent and reliable and stay in constant touch with the Data Virtuality Team. You keep exchanging ideas with your colleagues and help the team develop the best performance.
Smart, Coding-Talented, Java-Native!
Your tech stack:
Must have
“Fluent in” Java
strong experience (5+ years) in database design, complex SQL queries
in-depth knowledge of OOD methodology, Java, XML, J2EE (JSP, JMS, EJB, Servlet, JDBC, JPA), and Web Services (SOAP & REST)
working knowledge of Hibernate
keen understanding of the internal operation principles of an RDBMS, knowledge of Data Warehousing is a plus
practical knowledge of standard technologies for development, assembly (Maven), and versioning (Git)
Desired
strong experience (5+ years) in J2EE development with a focus on WildFly, JBoss, Tomcat, or a similar application server
in-depth knowledge of modern architectural concepts, design patterns, and agile software development (Scrum, Kanban)
Your personal stack:
fluent spoken and written English is a must-have criterion
clean and good quality coding approach is very important because of our complex product
analytical thinking, pragmatic development approach with a hands-on mentality
being a team player, but also being able to solve problems independently
understanding the requirements from the customer view
generally very good communication behavior
Data Virtuality in a Sec
Leading various large-scale data integration projects at a global media company, our founder Dr. Nick Golovin experienced that it isn’t enough to rely on just one data integration approach to meet the ever-changing business needs. The Data Virtuality Platform uniquely combines data virtualization and ETL to provide data professionals with a data integration tool that allows them always to choose the suitable method for the specific requirement. Data Virtuality’s flexible data integration approach is the reliable enabler and accelerator for modern data architectures, like data fabric, data mesh, unified data platform, and hybrid-/multi-cloud environments.
Our Tech Stack
Backend: J2EE application running in a JBoss/WildFly container to connect to any kind of
data source (relational/NoSQL/cloud based databases, web services, text files, etc.) and to
query data by using SQL. Persistence layers and internal configurations are delegated to
Hibernate.
Frontend (Desktop): Desktop Application based on Eclipse RCP
Frontend (Web): several Web applications based on Angular
Operating System: Linux, Microsoft Windows, macOs
Languages: Java 11, C, C++, TypeScript, SQL, XML
Databases: Oracle, PostgreSQL, MySQL, MS SQL Server, Amazon Redshift, Snowflake,
Microsoft Azure Synapse Analytics, Exasol, Teradata, Vertica, MongoDB, etc.
Others: Web Services, JDBC, ODBC, REST, OData, LDAP