Data Engineer
Qualysoft
Posted: February 19, 2026
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Quick Summary
Delivering scalable enterprise systems and digital transformation platforms to global clients through End-to-End IT Consulting Services.
Required Skills
Job Description
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:
• Design, develop, and maintain data pipelines and workflows using Azure Data Lake and Databricks.
• Implement machine learning solutions using Python, R, or Scala for predictive analytics and advanced modeling.
• Build interactive dashboards and reports in Power BI to support decision-making across the organization.
• Ensure data governance, security, and compliance standards are implemented in analytics solutions.
• Architect scalable and distributed data solutions to handle large datasets efficiently.
• Collaborate with business stakeholders to understand requirements and translate them into technical solutions.
• Present and communicate complex analytics concepts to non-technical audiences effectively.
Qualifications:
• Extensive experience in data engineering with a focus on Azure Data Lake and Databricks.
• Proficiency in Python, R, or Scala for machine learning applications.
• Expertise in Power BI for dashboarding and reporting.
• Strong knowledge of data governance, security, and compliance principles.
• Understanding of scalable and distributed systems architecture.
• Excellent problem-solving, communication, and presentation skills.
• Bachelor’s degree in Computer Science, Mathematics, Statistics, or a related field.
What We Offer
· Premium medical package
· Lunch Tickets & Pluxee Card
· Bookster subscription
· 13th salary and 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