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

Data Engineer (with German)

About this role

Responsibilities

Qualifications

Nice to have

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