Data Engineer (with German)
About Qualysoft
· 25 years of experience in software engineering, established in Vienna, Austria
· Active in Romania since 2007, with office in central Bucharest (Bd. Iancu de Hunedoara 54B)
· Delivering End to End IT Consulting Services - From Team Augmentation and Dedicated Teams to Custom Software Development
· We deliver scalable enterprise systems, intelligent automation frameworks, and digital transformation platforms
· Cross-industry experience by sustaining global players in BSFI (Banking, financial services and insurance), Telecom,Retail & E-commerce, Energy and Utilities, Automotive, Manufacturing, Logitics, High Tech
· Global Presence: Switzerland, Germany, Austria, Sweden, Hungary, Slovakia, Serbia, Romania, and Indonesia
· International team of 500+ software engineers
· Strategic partnerships: Microsoft Cloud Certified Partner, Tricentis Solutions Partner in Test Automation and Test Management, Creatio Exclusive Partner, Doxee Implementation Partner
· Powered by cutting-edge technologies: AI, Data & Analytics, Cloud, DevOps, IoT, and Test Automation.
· Project beneficiaries ranging from large-scale enterprises to startups
· Stable growth and revenue increase year over year, a resilient organisation in volatile IT market conditions
· Quality-first mindset, culture of innovation, and long-term client partnerships
· Global and local reach – trusted by key industry players in Europe and the US
Responsibilities
• Designing data pipelines for data ingestion and processing within the scope of project-related services
• Architectural design of databases, data mesh systems, and data warehouses • Designing and specifying business and technical data models for data storage • Designing integration solutions from various data sources (including real-time, streaming, and big data)
• Advising on the development of data governance and security policies; Implementation is the responsibility of the
• client.
• Analysis of existing databases and data processing processes.
• Design of solutions for scaling data infrastructures, taking the operating model into account (including DevOps).
• Consulting on the definition and implementation of technical data quality rules and validation mechanisms in data pipelines.
• Implementation of business-related data quality rules and validation mechanisms in data pipelines.
• Design of test designs, test automation, and test cases for data processes.
• Execution of deployments and version control in data processing environments (e.g., CI/CD for data pipelines).
• Creation and maintenance of technical documentation for data processes and data flows.
Qualifications
• Maintenance of Kubernetes-Clusters (min. 5 years experience)
• Experience with AWS Cloud/AWS Services (min. 5 years experience)
• REST-API’s (min. 5 years experience)
• SQL (min. 5 years experience)
• Python Programming (min. 5 years experience)
• German language mandatory
Nice to have
• Experience in the Transport/Logistic industry (one project reference)
• Docker
• Grafana
• Kafka
• Kinesis
• Open Telemetry
• Polars
• Prometheus