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
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· 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
Technical Leadership & Delivery
• Lead Data Engineering projects, ensuring high-quality technical delivery and alignment with customer requirements.
• Provide technical guidance, mentoring, and support to Data Engineering teams.
• Design and implement scalable data architectures, data pipelines, and integration solutions.
• Drive technical decisions and establish engineering standards, best practices, and quality assurance processes.
• Ensure the reliability, performance, security, and maintainability of data platforms.
• Identify and resolve complex technical challenges throughout the project lifecycle.
• Collaborate with project managers and cross-functional teams to ensure successful project execution.
Data Platform Engineering & Operations
• Design, develop, and optimize modern cloud-based data platforms, primarily using Databricks.
• Build and maintain robust ETL/ELT pipelines and data processing workflows.
• Implement data orchestration, automation, monitoring, and performance optimization solutions.
• Support the operation and continuous improvement of enterprise data environments.
• Establish effective DataOps practices, including CI/CD, automated testing, incident resolution, and operational monitoring.
• Ensure compliance with data governance, security, and data quality requirements.
Solution Architecture & Consulting
• Work directly with customers to understand business objectives, technical requirements, and operational challenges.
• Translate business requirements into scalable, cost-effective, and sustainable technical solutions.
• Lead technical workshops, architecture discussions, and solution design sessions.
• Provide expert guidance on data platform architecture, modernization, integration, and optimization.
• Prepare technical documentation, architectural designs, and implementation recommendations.
• Act as a trusted technical advisor to customer stakeholders.
Presales & Business Development Support
• Contribute to technical proposals, solution designs, and effort estimations for new opportunities.
• Support RFP and tender responses by defining technical approaches, architectures, and delivery concepts.
• Participate in customer presentations, technical demonstrations, and discovery workshops.
• Collaborate with Sales, Account Management, and Solution teams to identify and develop new opportunities.
• Contribute to the development and standardization of Data Engineering and Data Operations service offerings.
Qualifications
Technical skills
• Minimum 7 years of professional experience in Data Engineering, Data Architecture, or related disciplines.
• Strong hands-on experience with Databricks, Apache Spark, and Delta Lake.
• Advanced proficiency in Python and SQL.
• Solid understanding of modern data architectures, including Data Lake, Data Warehouse, and Lakehouse concepts.
• Proven experience designing and implementing ETL/ELT pipelines and complex data integration solutions.
• Strong experience with cloud-based data platforms (Azure, AWS, or Google Cloud), preferably in combination with Databricks.
• Knowledge of data orchestration, workflow automation, and CI/CD practices.
• Experience using AI-assisted development tools (e.g., GitHub Copilot, ChatGPT, Claude) to improve coding productivity, troubleshooting, testing, and documentation.
• Experience with performance optimization, data quality, monitoring, and troubleshooting.
• Understanding of data governance, access management, and security principles.
• Familiarity with production-grade data platform operations and DataOps methodologies.
Professional and Leadership Skills
• Proven experience in a technical leadership role, such as Lead Data Engineer, Technical Lead, or Data Architect.
• Experience in IT consulting, systems integration, or professional technology services.
• Ability to identify and drive opportunities for applying AI-powered tools and automation to improve Data Engineering efficiency, delivery quality, and team productivity.
• Strong analytical and problem-solving capabilities.
• Ability to translate business requirements into technical architectures and implementation plans.
• Experience managing technical stakeholders and working directly with enterprise customers.
• Strong communication, presentation, and consulting skills.
• Ability to work independently while coordinating cross-functional and international teams.
• Experience preparing technical proposals, estimates, and solution documentation.
• Strong ownership mindset, proactive attitude, and commitment to delivery excellence.
• Fluent English, both written and spoken.
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 and identifying potential inconsistencies or verification signals in application materials based on available information. 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.
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