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

What We Offer

• Premium medical package

• Lunch Tickets & Pluxee Card

• Bookster subscription

• 13th salary/yearly bonuses

• Enterprise job security with a startup mentality (diverse & engaging environment, international exposure, flat hierarchy) under the stability of a secure multinational

• A supportive culture (we value ownership, autonomy, and healthy work-life balance) with great colleagues, team events and activities

• Flexible working program and openness to remote work

• Collaborative mindset - employees shape their own benefits, tools, team events and internal practices

• Diverse opportunities in Software Development with international exposure

• Flexibility to choose projects aligned with your career path and technical goals

• Access to leading learning platforms, courses, and certifications (Pluralsight, Udemy, Microsoft, Google Cloud)

• Career growth & learning - mentorship programs, certifications, professional development opportunities, and above-market salary

*We are an equal opportunity employer and value diversity. All employment decisions are made without regard to age, gender, disability, race, ethnicity, religion, sexual orientation, or any other protected characteristic. We encourage applicants from all backgrounds to apply.*

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.